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1
Singh, Chandra Prakash. "Low-Code and No-Code in Enterprise Development: Bridging the Gap Between IT and Business." International Scientific Journal of Engineering and Management 04, no. 01 (2025): 1–7. https://doi.org/10.55041/isjem01325.
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Low-code development has emerged as a transformative concept in both academia and the software industry, often discussed alongside model-driven engineering and domain-specific languages. Usability plays a critical role in low- code contexts, given that many users lack programming expertise. While grey literature frequently praises the high usability of low-code tools, this paper systematically reviews academic and industry research to understand the relationship between low-code development and usability. Using a formal search protocol, 38 relevant studies were analyzed to identify key usability factors and how users perceive these tools. Despite growing interest, no formal definition of low-code has been universally adopted. This paper proposes a definition, highlights usability's role, and identifies further research avenues to strengthen the field of low-code development. Keywords Low-code, no-code, citizen development, IT democratization, business-IT collaboration, digital transformation, agile development, machine learning, usability, metadata-driven applications
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Tandon, Yaman. "How GenAI Agents Are Transforming Legacy Application Modernization." European Journal of Computer Science and Information Technology 13, no. 36 (2025): 62–71. https://doi.org/10.37745/ejcsit.2013/vol13n366271.
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This article explores how Generative AI (GenAI) is revolutionizing legacy application modernization in enterprise environments. Legacy systems, with their outdated technologies and rigid architectures, represent significant technical debt and maintenance burdens for organizations. GenAI-powered agents are emerging as transformative tools that can analyze complex codebases, discover implicit knowledge, recommend customized modernization strategies, and automate code transformation. The article examines core capabilities of these AI agents, including automated code analysis, intelligent strategy formulation, code transformation, and API generation. It presents implementation approaches across assessment, execution, and governance phases, supported by case studies from financial services, healthcare, and manufacturing sectors that demonstrate substantial improvements in modernization speed, cost, and outcomes. As these technologies continue to evolve, they promise to fundamentally reimagine how organizations approach technical debt and enable more adaptive, innovative technology landscapes.
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Velmurugan. N.S.A. "REVOLUTIONIZING WEB DEVELOPMENT: HARNESSING GENERATIVE AI FOR IMAGE –TO-CODE TRANSFORMATION." International Journal of Engineering Research and Sustainable Technologies (IJERST) 2, no. 3 (2024): 30–34. https://doi.org/10.63458/ijerst.v2i3.90.
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The integration of generative AI for image-to-code transformation marks a game-changing advancement in webdevelopment. This innovative technology streamlines the conversion of visual designs into functional code, revolutionizingwebsite creation. By employing deep learning techniques and sophisticated neural networks, the AI model accuratelyinterprets design elements to generate HTML, CSS, and JavaScript code efficiently. With a focus on pixel-level analysis andadvanced NLP integration, the model enhances code accuracy and adaptability to user preferences. Offering a collaborativedevelopment environment, it facilitates real-time interaction and iterative code refinement. This transformative AI solutionaccelerates website development workflows, minimizes errors, and ensures design consistency, enabling developers toprioritize creativity and optimize the user experience. In essence, generative AI for image-to-code conversion reshapes webdevelopment practices, providing a dynamic solution to traditional coding challenges. As this technology evolves, itpromises to redefine creativity and efficiency in website design, empowering developers to deliver cutting-edge digitalexperiences worldwide
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Shi, Zhengwu, Junyu Dong, and Yanhai Gan. "Democratizing Digital Transformation: A Multisector Study of Low-Code Adoption Patterns, Limitations, and Emerging Paradigms." Applied Sciences 15, no. 12 (2025): 6481. https://doi.org/10.3390/app15126481.
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Low-code development platforms (LCDPs) have emerged as transformative tools for accelerating digital transformation across industries by enabling rapid application development with minimal hand-coding. This paper synthesizes existing research and industry practices to explore the adoption, benefits, challenges, and future directions of low-code technologies in key sectors: automotive, equipment manufacturing, aerospace, electronics, and energy. Drawing on academic literature, industry reports, and case studies, this review highlights how low-code bridges the gap between IT and domain experts while addressing sector-specific demands. The study emphasizes the significant impact of LCDPs on operational efficiency, innovation acceleration, and the democratization of software development. However, it also identifies critical challenges related to customization, interoperability, security, and usability. The paper concludes with a discussion of emerging trends, including enhanced AI/ML integration, edge computing, open-source ecosystems, and sector-specific platform evolution, which are poised to shape the future of low-code development. Ultimately, this research underscores the potential of low-code platforms to drive sustainable digital transformation while addressing the complex needs of modern industries.
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Trofimova, Ekaterina, Emil Sataev, and Andrey Ustyuzhanin. "Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines." PeerJ Computer Science 10 (September 23, 2024): e2328. http://dx.doi.org/10.7717/peerj-cs.2328.
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In the ever-evolving landscape of machine learning, seamless translation of natural language descriptions into executable code remains a formidable challenge. This article introduces Linguacodus, an innovative framework designed to tackle this challenge by deploying a dynamic pipeline that iteratively transforms natural language task descriptions into code through high-level data-shaping instructions. The core of Linguacodus is a fine-tuned large language model, empowered to evaluate diverse solutions for various problems and select the most fitting one for a given task. This article details the fine-tuning process and sheds light on how natural language descriptions can be translated into functional code. Linguacodus represents a substantial leap towards automated code generation, effectively bridging the gap between task descriptions and executable code. It holds great promise for advancing machine learning applications across diverse domains. Additionally, we propose an algorithm capable of transforming a natural description of an ML task into code with minimal human interaction. In extensive experiments on a vast machine learning code dataset originating from Kaggle, we showcase the effectiveness of Linguacodus. The investigations highlight its potential applications across diverse domains, emphasizing its impact on applied machine learning in various scientific fields.
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Krishna Kanth Kothapally. "Low-Code Integration Platforms: Revolutionizing Enterprise Architecture Through AI-Driven Development." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1608–17. https://doi.org/10.32628/cseit251112188.
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The widespread adoption of low-code platforms is fundamentally transforming enterprise integration strategies, offering a paradigm shift in how organizations approach system connectivity and application development. This article examines the architectural framework, implementation patterns, and transformative impact of low-code platforms in enterprise environments, with particular emphasis on their role in democratizing integration development. This article explores how these platforms bridge the traditional divide between IT and business teams while enabling rapid prototyping and iteration of integration solutions. The discussion encompasses the emerging role of artificial intelligence and machine learning in enhancing low-code capabilities, alongside critical considerations for security, governance, and scalability. Through analysis of industry practices and architectural patterns, this article presents a comprehensive framework for organizations to evaluate, implement, and optimize low-code integration platforms while maintaining enterprise-grade reliability and performance. This article suggests that low-code platforms represent a strategic imperative for organizations seeking to accelerate their digital transformation initiatives while maintaining robust integration architectures.
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Das, Jitendra Kumar. "Low-code/No-code Development Empowering Non-Developers: A Study on the Rise of Low-Code Web Platforms." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 6695–98. https://doi.org/10.22214/ijraset.2025.71770.
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Abstract: The rapid evolution of digital technologies has catalyzed a significant shift in software development practices, paving the way for Low-Code and No-Code (LCNC) platforms that empower non-developers to participate in application creation. This study explores the growing adoption of LCNC web platforms, examining how they enable individuals without formal programming skills to build functional, scalable web applications. Through a mixed-methods approach involving case studies, platform analysis, and user interviews, the research identifies key drivers behind the rise of LCNC tools, such as reduced development time, lower costs, and enhanced accessibility. The paper also investigates the broader implications for organizations, including shifts in workforce dynamics, the democratization of innovation, and challenges related to scalability and governance. Ultimately, this study highlights the transformative potential of LCNC development in bridging the gap between technical and non-technical users, fostering a more inclusive digital innovation ecosystem.
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Asdah, Atikah Nurul, and Devi Apyunita. "Roland Barthes’ Semiotic Analysis of Feature Text Written by the Students in Language and Literature Education Study Program." LITERA : Jurnal Bahasa Dan Sastra 11, no. 1 (2025): 41–50. https://doi.org/10.36002/litera.v11i1.3906.
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This study aims to investigate the structure of meaning and the embedded cultural values in nature-themed feature texts composed by students of the Indonesian Language and Literature Education program. Employing a qualitative descriptive approach, the study adopts a semiotic text analysis design. Data were collected through documentation of the feature texts and semi-structured interviews. The analysis was guided by five semiotic codes: hermeneutic, semic, symbolic, proairetic, and cultural. The findings revealed that the students’ feature texts consistently incorporate all five semiotic codes, each contributing to the enrichment of narrative structure and depth of textual meaning. The hermeneutic code generates curiosity and suspense; the semic code conveys connotative meanings; the symbolic code represents cultural and spiritual symbolism; the proairetic code structures the narrative flow; and the cultural code reflects local cultural values. Moreover, the texts exhibit significant values such as aesthetic awareness, ecological consciousness, cultural preservation, and spiritual reflection. This study concluded that students’ feature texts function as a medium of personal and cultural expression, while simultaneously serving as a tool for critical literacy. These texts support transformative learning and foster cultural identity reinforcement within educational contexts.
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Stupina, Ekaterina S. "RHETORICAL CODES OF PERIPHRASIS IN THE POETRY OF JOSEPH BRODSKY." Vestnik of Kostroma State University 30, no. 2 (2024): 171–75. http://dx.doi.org/10.34216/1998-0817-2024-30-2-171-175.
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The paper examines which rhetorical codes are implemented by periphrases in the poetry of Joseph Brodsky. The understanding of the rhetorical code is connected with the symbolic perception of artistic images created in a poetic text. The study of the rhetorical code involves the analysis of the influencing potential of stylistic means, taking into account the genre features of the text material. The expressive and pictorial possibilities that rhetorical techniques possess are also due to a thematic factor, a communicative situation – a political event, a love twist, a historical action. The interpretation of the code contributes to the establishment of communicative relations between the addressee and the addressee, the author and the reader, thereby comprehending the pragmatic meaning of the work of speech. In the lyrics of Joseph Brodsky, saturated with allusions and reminiscences, the periphrasis becomes a semantic, transmission and transformative buffer that expands the cultural space of the work. The rhetorical codes of reinforcement, substitution and isolation help to understand the emotional state of the lyrical hero, the decryption of these codes explains the causes of frustration, loss and feelings of orphanhood. The article emphasises that the basis of the rhetorical code is the national mentality and linguistic personality of the author of the work; therefore, when interpreting the code, the context of history was taken into account when the poems were created. The rhetorical code is part of the cultural code. Free periphrases, which are often used in the poems of Joseph Brodsky, allow the reader to see a unique, special picture of the poet’s world.
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Ohtake, Fumiaki. "Branched ubiquitin code: from basic biology to targeted protein degradation." Journal of Biochemistry 171, no. 4 (2022): 361–66. http://dx.doi.org/10.1093/jb/mvac002.
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Abstract Protein ubiquitylation regulates numerous pathways, and the diverse information encoded by various forms of ubiquitylation is known as the ubiquitin code. Recent studies revealed that branched ubiquitin chains are abundant in mammalian cells and regulate important pathways. They include proteasomal degradation of misfolded and disease-causing proteins, regulation of NF-κB signalling and apoptotic cell fate decisions. Targeted protein degradation through chemical degraders emerged as a transformative therapeutic paradigm aimed at inducing the disappearance of unwanted cellular proteins. To further improve the efficacy of target degradation and expand its applications, understanding the molecular mechanism of degraders’ action from the view of ubiquitin code biology is required. In this review, I discuss the roles of the ubiquitin code in biological pathways and in chemically induced targeted protein degradation by focusing on the branched ubiquitin codes that we have characterized.
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Praveen Kumar Chakilam. "Democratizing enterprise integration: The emergence of low-code/no-code integration platforms." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 008–14. https://doi.org/10.30574/wjaets.2025.15.2.0492.
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Low-code/no-code (LC/NC) integration platforms are fundamentally transforming enterprise connectivity by democratizing integration capabilities previously restricted to specialized technical personnel. These platforms employ intuitive visual interfaces, pre-built connectors, and intelligent automation to abstract away technical complexity, enabling both business users and IT professionals to collaborate on integration solutions. The global market for these technologies is experiencing remarkable growth, projected to reach USD 13.7 billion by 2027 at 25.1% CAGR, reflecting their strategic importance. Organizations implementing low-code/no-code (LC/NC) integration solutions report dramatic improvements in development timelines, with projects completed up to 10 times faster than traditional approaches. This acceleration drives operational efficiencies across sectors, including healthcare, financial services, retail, and manufacturing, each benefiting from industry-specific integration capabilities. Despite compelling advantages, including enhanced businessIT collaboration, reduced operational costs, and increased process innovation, organizations must navigate challenges related to technical limitations, governance complexity, and potential vendor lock-in. By understanding both the transformative potential and inherent limitations of these platforms, organizations can develop effective implementation strategies that balance accessibility with enterprise-grade performance requirements.
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Sarathe Krisshnan Jutoo Vijayaraghavan. "Security as code: Transforming DevSecOps through CI/CD Integration." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 2219–25. https://doi.org/10.30574/wjaets.2025.15.1.0446.
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Security as Code (Sac) represents a transformative approach to addressing the critical challenge of balancing rapid software delivery with robust security measures. By embedding security directly into continuous integration and continuous deployment pipelines, Sac enables organizations to automate, standardize, and scale security practices throughout the software development lifecycle. This integration transforms security from a bottleneck into an enabler of development velocity while significantly enhancing risk posture. The article explores the theoretical framework of Sac, including its foundations in immutability, shift-left principles, and automated feedback mechanisms. Implementation strategies within Jenkins pipelines highlight practical approaches to security scanning integration, policy as code, secrets management, and compliance automation. The organizational impact of Sac implementation extends beyond technical improvements to catalyze cultural transformation, breaking down traditional silos between development, operations, and security teams. Despite compelling benefits, challenges persist in tool integration, skills availability, governance requirements, and cultural resistance. When properly addressed, these obstacles give way to a security model that is more consistent, efficient, and effective than traditional approaches, ultimately enabling organizations to build more resilient systems without Sacrificing delivery speed.
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Inyangetoh, Jude Alphonsus, and Ekemini Anietie Johnson. "Exploring the Efficiency of QR-Code Technology in Developing Authentication System for Admitting Students into Examination Hall for Polytechnics in Nigeria." International Journal of Network and Communication Research 9, no. 1 (2025): 1–14. https://doi.org/10.37745/ijncr.16/vol9n1114.
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The rapid evolution of digital technology has introduced innovative solutions to address long-standing challenges in the education sector. Among these advancements, Quick Response (QR) codes have emerged as a versatile tool, offering secure and efficient mechanisms for data transmission and verification. This article examines how QR-code technology was used in practice to create an authentication system tailored to address the inefficiencies and vulnerabilities associated with student verification processes in Nigerian polytechnics, particularly for examination hall entry. Traditional methods, such as manual roll calls and physical examination cards, are often prone to errors, inefficiencies, and fraudulent practices. The study describes the QR-code methodology and how it is implemented. The methodology encompasses requirements analysis, system design, technology selection, implementation, and testing, ensuring the development of a robust and scalable solution. The agile software development methodology was adopted for the study. The results reveal the elimination of impersonation cases through advanced encryption and digital signatures, and improved administrative workflows. Furthermore, the adoption of QR-code technology allows for scalability and cost-effectiveness, making it applicable across various educational institutions. This research highlights the transformative potential of QR codes in enhancing academic integrity and operational efficiency within educational institutions. Despite challenges such as infrastructure limitations, the study underscores the need for investment in technology and policy frameworks to maximize the benefits of digital authentication systems. The implications extend beyond examination hall verification, paving the way for broader applications, including attendance tracking, secure record access, and automated payment systems. The study concludes that QR-code-based systems offer a scalable, secure, and efficient solution for educational institutions, aligning with the digital transformation goals of the sector and providing a benchmark for innovative practices in authentication processes.
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Regvart, Damir, Jasmin Redžepagić, Adriano Bubnjek, and Robert Petrunić. "Security hardening using infrastructure as code." Edelweiss Applied Science and Technology 9, no. 2 (2025): 1147–55. https://doi.org/10.55214/25768484.v9i2.4697.
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This paper examines Infrastructure as Code (IaC) with Ansible to automate and enhance security hardening in Linux environments. As IT infrastructures grow more complex, manual security configurations become error-prone, inefficient, and inconsistent. IaC addresses these issues by allowing organizations to define and deploy infrastructure configurations as code, ensuring a consistent security baseline. Focusing on key settings for Firewalld, SELinux, and SSH, the study demonstrates how Ansible enforces these configurations in a scalable, repeatable, and resilient manner. Results show that using Ansible for security hardening reduces deployment times, minimizes manual errors, and ensures uniform security standards across diverse systems. This research offers a practical foundation for organizations seeking to improve their cybersecurity posture, emphasizing IaC's transformative potential in achieving secure, efficient, and adaptable infrastructure management.
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Abdelkrim, Bouadjemi, and Abdi Mustapha Kamel. "Towards a transformation approach from SecureUML to Alloy." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e9675. http://dx.doi.org/10.54021/seesv5n2-386.
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In critical information systems, Role-Based Access Control (RBAC) has been frequently used. The specification of access control policies is an essential step in securing information systems. This article presents a transformative approach for addressing design challenges within these specifications using Model-Driven Architecture (MDA). A method is introduced for specifying and verifying model-based access control (RBAC) rules by combining SecureUML and Alloy, referred to as SecureUML2Alloy. This approach leverages transformation techniques based on metamodels to express the SecureUML source model in the Alloy target model. The SecureUML2Alloy framework allows for the generation of an initial Alloy code that can be extended with facts, functions, and predicates depending on the case. The transformative framework offers a reliable, automated mechanism for verifying security specifications in critical systems, promoting both theoretical and practical advancements in model transformation and formal verification. This method provides a pathway for future automation tools in secure system design and analysis, contributing to the reliability and security of software systems across multiple fields.
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Researcher. "DEMYSTIFYING CLOUD SERVICE PROVIDERS AND INFRASTRUCTURE AS CODE." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 452–63. https://doi.org/10.5281/zenodo.13285378.
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This article explores the transformative impact of cloud computing and Infrastructure as Code (IaC) on modern IT practices. It delves into the fundamentals of cloud services, examining the offerings of major providers like AWS, Azure, and Google Cloud Platform, and their role in democratizing access to advanced computing capabilities. The article further investigates how IaC is revolutionizing infrastructure management by treating configuration as software, enabling automation, consistency, and version control. Through a real-world scenario, the synergy between cloud services and IaC is demonstrated, showcasing how organizations can leverage these technologies to achieve scalability, cost optimization, and improved collaboration in their IT operations.
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Beach, Pamela, Jen McConnel, and Barbara Mendes. "Unpacking the Code: Exploring Teachers’ Professional Development in Reading." Journal of the Canadian Association for Curriculum Studies 18, no. 1 (2020): 103–4. http://dx.doi.org/10.25071/1916-4467.40480.
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Teaching reading requires considerable knowledge and skill acquired over several years, and while communities and families contribute to students’ reading success, teachers are the most influential forces for delivering high-quality reading programs. Professional development opportunities in reading enable teachers to augment their current curriculum content and pedagogical knowledge and can have a powerful effect on their practice and, ultimately, on student learning. We conducted a qualitative study exploring teachers’ perceptions of reading development and instruction with nine elementary educators enrolled in a targeted professional development course. Two semi-structured interviews were conducted: once prior to the start of the professional development course and once following the professional development course. An inductive approach to analysis resulted in four main themes: seeking out new knowledge, evolving definitions of reading, transformative learning moments, and increases in self-efficacy for teaching reading. This study illustrates the transformative power a targeted professional development course can have on teachers’ perceptions of reading. Professional development in reading that is relevant and properly resourced can significantly impact teachers’ perceptions of their practice, their self-efficacy for teaching reading and, ultimately, have a positive effect on their students’ growth in reading development. Additionally, understanding teachers’ perceptions of their professional development in reading can contribute to the development and refinement of professional learning experiences.
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Satheesh, Reddy Gopireddy. "AI-Powered Code Review and Vulnerability Detection in DevOps Pipelines." Journal of Scientific and Engineering Research 11, no. 10 (2024): 124–29. https://doi.org/10.5281/zenodo.14096652.
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As software development increasingly relies on rapid and iterative deployment cycles, ensuring the security and quality of code has become paramount in DevOps pipelines. Traditional code review processes and vulnerability detection methods often struggle to keep pace with the high velocity of modern development workflows. Artificial Intelligence (AI) presents a transformative solution, offering advanced capabilities in automated code analysis and real-time vulnerability detection. This paper explores the integration of AI-powered tools in DevOps pipelines, focusing on their role in enhancing code quality, identifying vulnerabilities early in the development lifecycle, and reducing human error. By investigating both the technical mechanisms and practical implications, this research provides insights into how AI can revolutionize DevOps security and code quality.
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Meshri, Anhadh. "Design to Code." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44881.
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In an era characterized by constant technological innovation and a growing emphasis on user experience, artificial intelligence (AI) has emerged as a powerful tool for reshaping software development. This abstract introduces a pioneering "Design to Code" application built using advanced AI algorithms and a user-friendly graphical interface, a tool that holds the promise of revolutionizing how we envision and implement website designs. This visionary application transcends the traditional boundaries of coding, offering a transformative approach that bridges the gap between design and development, enabling users to creatively, efficiently, and accurately generate code for their prototypes. The "Design to Code" application takes full advantage of AI's capabilities, providing a unique platform for transforming design prototypes into fully functional code. It empowers users by allowing them to design, customize, and translate visual prototypes into multiple programming languages. The outcome is an instant, seamless generation of code, reducing the complexity and time involved in manual coding. The key features of this groundbreaking app include an intuitive design interface, multi-language code generation, real-time customization options, and support for advanced frameworks. The user interface is designed with a focus on ease of use, allowing users to effortlessly create and modify designs, generate responsive layouts, and customize code based on specific requirements. This application represents a significant leap in the evolution of software development technology. It empowers users to bridge the gap between design and implementation, fostering creativity, practicality, and collaboration. This abstract offers a glimpse into the immense potential of AI in software development, redefining the future of website creation with innovation, functionality, and convenience for designers and developers alike.
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Researcher. "DEMOCRATIZING DATA INSIGHTS: THE IMPACT OF NO-CODE/LOW-CODE PLATFORMS ON BUSINESS INTELLIGENCE VISUALIZATION." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 647–61. https://doi.org/10.5281/zenodo.14025139.
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This article examines the transformative impact of no-code and low-code platforms on data visualization practices in contemporary business environments. As organizations grapple with the increasing complexity and volume of data, these platforms emerge as powerful tools for democratizing data access and empowering non-technical users to create sophisticated visualizations and dashboards. Through a comprehensive analysis of current literature, industry reports, and case studies, we explore how these platforms are reshaping traditional data visualization workflows, enhancing collaboration between technical and non-technical teams, and fostering a culture of data-driven decision-making across organizational hierarchies. Our findings suggest that while no-code/low-code platforms offer significant benefits in terms of agility, cost-effectiveness, and user empowerment, they also present challenges related to data governance, scalability, and integration with existing systems. This article contributes to the growing body of knowledge on data democratization and provides practical insights for organizations seeking to leverage no-code/low-code solutions to enhance their data visualization capabilities and drive innovation.
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Sanuri, Sanuri. "Morality Issues in The Islamic Criminal Law and The Indonesian Criminal Code Draft under The Perspective of Maqasid Al-Shari’ah." al-Daulah Jurnal Hukum dan Perundangan Islam 11, no. 1 (2021): 75–101. http://dx.doi.org/10.15642/ad.2021.11.1.75-101.
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This is a bibliographical research to highlight the moral issues in the Islamic Criminal Law and the Indonesian Criminal Code Draft, such as pornography, acts of adultery, cohabiting, prevention of pregnancy and abortion, and rape on the perspective of maqasid al-shari’ah”. The intersection between the principles of the Islamic Criminal Law and those of the Criminal Code Draft in Indonesia can be seen from a transformative relationship occurs substantively and contextually through the five features in daruriyyat al-khamsah of the theory of maqasid al-shari’ah. In addition, the transformation of the two legal systems can also be measured through the three basic concepts that exist in the Islamic Criminal Law namely zawajir (repressive), jawabir (preventive), and ta’dib (educative) while still pays attention to the universal values such as justice (al-‘adalah), freedom (al-hurriyyah), equality (al-musawah), wisdom (al-hikmah), and human kindness (masalih al-‘ibad).
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Dusseldorp, Marc, Elisabeth Does, Rafaela Hillerbrand, and Oliver Parodi. "How to develop a Code of Ethics for real-world labs." GAIA - Ecological Perspectives for Science and Society 33, no. 4 (2024): 397–406. https://doi.org/10.14512/gaia.33.4.11.
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Codes of ethics play an important role in the practice of professional organizations, companies, and academia. We describe the process of developing a Code of Ethics for Real-world Labs of Sustainability, a form of practice with particular ethical challenges.Real-world lab (RwL) work is characterized by particular ethical challenges that arise from the participatory and, above all, transformative nature of this form of practice. In response to the demand from the German-speaking community, Real-world Labs of Sustainability, we have designed and implemented a transdisciplinary process to develop a code of ethics which should meet the requirements of the RwL community and, at the same time, be ethically reflective. In this paper, we describe and reflect on this process. It was initiated at the Karlsruhe Institute of Technology (KIT) in 2022, involving KIT-affiliated RwL practitioners and philosophers, and has subsequently been opened to a wider range of contributors. This article is also intended to present the full text of the draft Code of Ethics to a broader audience, and to encourage interested readers to give feedback on this draft. The feedback will be considered in a revision of the text and will thus lead the way towards the actual RwL Code of Ethics.
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Amandeep Singh Saini. "The Rise of Cloud Computing and the Importance of IaC." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1756–64. https://doi.org/10.32628/cseit251112156.
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Infrastructure as Code (IaC) has emerged as a transformative approach in cloud computing, revolutionizing how organizations manage and deploy their infrastructure. By treating infrastructure configurations as software code, IaC enables automated, consistent, and scalable deployment processes across multiple cloud environments. The shift from traditional manual infrastructure management to automated IaC practices has significantly enhanced operational efficiency, reduced human errors, and strengthened security postures. Organizations leveraging IaC benefit from rapid deployment capabilities, standardized management practices, and improved resource optimization. The integration of IaC with DevOps workflows has further accelerated digital transformation initiatives, enabling seamless collaboration between development and operations teams. The adoption of security-first IaC practices has strengthened compliance adherence and reduced vulnerability exposure through automated security controls and continuous monitoring. As the technology landscape evolves, the incorporation of artificial intelligence and machine learning capabilities in IaC workflows promises to deliver enhanced infrastructure optimization, predictive analytics, and automated decision-making, positioning IaC as a cornerstone of modern cloud infrastructure management.
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Carapella, Francesca, Edward Dumas, Jacob Gerszten, Nathan Swem, and Larry Wall. "Decentralized Finance (DeFi): Transformative Potential & Associated Risks." Finance and Economics Discussion Series 2022, no. 057 (2022): 1–33. http://dx.doi.org/10.17016/feds.2022.057.
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Decentralized finance (DeFi) refers to a set of newly emerging financial products and services that operate on decentralized platforms using blockchains to record and share data. DeFi products and services are conducted without a trusted central intermediary such as a bank, and they include payments, lending and borrowing, trading and investments, capital raising (crowdfunding), and insurance. An important innovation that allowed for the development of DeFi was the growth of programming capability on blockchains. This innovation allows for the creation of computer code called smart contracts that can be invoked by users without going through a centralized intermediary. DeFi may pose financial stability risks, that are exacerbated by the fact that both are currently largely outside the prudential regulatory perimeter, which we discuss.
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Kundu, Subhasis. "Redefining Software Development: Fine-Tuning Generative AI and Large Language Models for Intelligent Automation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 02 (2023): 1–9. https://doi.org/10.55041/ijsrem17792.
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This study explores the transformative impact of Generative AI and Large Language Models (LLMs) on software development by leveraging intelligent automation. It delves into sophisticated methods for refining LLMs to enhance code generation, improve adaptive learning abilities, and support autonomous software engineering processes [1] [2]. This study investigates how these technologies can be integrated into current development workflows to tackle issues such as code quality, scalability, and ethical concerns. Innovative strategies to boost model performance have been introduced, such as targeted data augmentation and domain-specific pre-training. The results showed notable advancements in the accuracy, efficiency, and adaptability of code generation across various programming languages and frameworks. Finally, the study discusses the implications of these developments for future software development and outlines a roadmap for further research and industrial implementation. Keywords — Generative AI, Large Language Models, Intelligent Automation, Software Development, Code Generation, Adaptive Learning, Autonomous Engineering, Data Augmentation, Domain-Specific Pre-trainings, Transfer Learning, Code Quality, Ethical Considerations.
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Sunil, Kumar V. "Next-Generation Software Engineering: A Study on AI-Augmented Development, DevSecOps and Low-Code Frameworks." Journal of Advances in Computational Intelligence Theory 7, no. 2 (2025): 5–10. https://doi.org/10.5281/zenodo.15173513.
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<em>The software engineering domain is undergoing a paradigm shift driven by the integration of Artificial Intelligence (AI), security-by-design practices like DevSecOps, and the rise of low-code/no-code development platforms. This study explores the convergence of these three transformative trends, focusing on how AI-augmented development enhances code quality and developer productivity, how DevSecOps embeds security throughout the software development lifecycle (SDLC), and how low-code platforms democratize software creation. Through an analytical synthesis of contemporary literature and industrial practices, the research identifies key benefits such as faster time-to-market, continuous delivery with built-in security, and improved collaboration between developers, testers, and operations teams. The study also addresses the challenges of AI explainability, security automation, and scalability in low-code systems. The findings suggest that the next generation of software engineering must embrace a synergistic model where AI, security, and accessibility converge to produce secure, efficient, and user-centric software at scale.</em>
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Abieba, Olumese Anthony, Chisom Elizabeth Alozie, and Olanrewaju Oluwaseun Ajayi. "Enhancing Disaster Recovery and Business Continuity in Cloud Environments through Infrastructure as Code." Journal of Engineering Research and Reports 27, no. 3 (2025): 127–36. https://doi.org/10.9734/jerr/2025/v27i31423.
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This paper explores the transformative impact of Infrastructure as Code (IaC) on disaster recovery and business continuity in cloud environments. Infrastructure as Code is defined as the practice of managing and provisioning infrastructure through machine-readable code, facilitating automation, consistency, and scalability. The relevance of IaC in disaster recovery is highlighted, demonstrating how it enhances operational efficiency and resilience by automating key processes such as backup, failover, and restoration. Furthermore, the paper discusses the importance of business continuity, emphasizing IaC’s role in maintaining and quickly restoring critical services. The advantages of using IaC tools and practices to enforce continuity plans are examined, alongside a set of best practices for successful implementation. Ultimately, the paper concludes that adopting Infrastructure as Code is essential for organizations seeking to enhance their disaster recovery and business continuity strategies in an increasingly complex digital landscape.
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Abhilash Kokala. "Low-code platforms in BPM: How workflow and rules engines enable citizen development." International Journal of Science and Research Archive 6, no. 1 (2022): 343–46. https://doi.org/10.30574/ijsra.2022.6.1.0145.
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Low-code platforms are revolutionizing Business Process Management (BPM) by enabling citizen developers—non- technical users with a deep understanding of business needs—to design, modify, and automate workflows without requiring extensive programming skills. These platforms use intuitive drag-and-drop tools and visual interfaces to simplify process development, removing traditional barriers to innovation. This article delves into the transformative impact of workflow and rules engines within low-code platforms, which streamline operations, cut costs, and boost productivity. By exploring real-world applications, such as customer sup- port and supply chain management, and addressing challenges like governance and scalability, this piece highlights how low-code BPM fosters collaboration between business and IT teams. Finally, it looks at future trends, such as AI-driven process optimization and hyper automation, cementing low-code platforms as indispensable tools in driving organizational success in a rapidly evolving digital landscape.
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Anurag, Biswal, Agarwal Krishna, Tripathy Nishita, Kumar Dewangan Somesh, and Choubey Siddhartha. "Codesplain: AI powered documentation app." i-manager’s Journal on Software Engineering 18, no. 4 (2024): 20. http://dx.doi.org/10.26634/jse.18.4.20712.
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Codesplain is a groundbreaking AI-powered tool poised to transform the landscape of code documentation by harnessing the power of advanced analysis techniques. Through its sophisticated algorithms, Codesplain delves into code repositories sourced from platforms like GitHub and GitLab, meticulously parsing and deciphering the intricacies of codebases. What sets Codesplain apart is its ability to generate exhaustive and intelligible documentation, offering insights that facilitate seamless collaboration among developers. By distilling complex code structures into comprehensible narratives, Codesplain not only streamlines the development process but also serves as a repository of invaluable knowledge, safeguarding critical insights for future reference. This paper delves into the multifaceted functionality of Codesplain, elucidating its myriad benefits and profound impact on organizational codebases. From fostering a culture of knowledge preservation to catalyzing innovation through expedited development cycles, Codesplain emerges as a transformative force, poised to redefine the standards of code documentation practices.
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Yogesh, Patil Shital Sonawane Asha Patil. "Code Club for Developers: Revolutionizing Coding Education." International Journal of Scientific Research and Technology 2, no. 1 (2025): 432–36. https://doi.org/10.5281/zenodo.14747992.
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The fast advancement of the computerized economy has driven a basic request for open, high- quality coding instruction.Conventional stages regularly drop brief due to divided substance, restricted dialect bolster, and tall costs, clearing out numerous yearning engineers underserved. Code Club for Designers addresses these challenges with a transformative approach, advertising multilingual courses, organized learning ways, live mentorship, and industry- recognized certifications. This consider assesses the viability of Code Club through overviews, stage benchmarking, and a pilot consider. The discoveries highlight surprising enhancements in learner engagement, coding capability, and maintenance rates. Learners advantage from an intuitively, comprehensive environment that bolsters differing phonetic and social foundations. Code Club's organized learning ways guarantee a consistent movement from apprentice to progressed levels, whereas live mentorship cultivates personalized direction. Recognized certifications assist upgrade employability, empowering members to unquestionably move into the workforce. The stage too joins real-world ventures, planning learners to handle viable challenges. Results demonstrate that Code Club not as it were bridges basic crevices in worldwide coding instruction but moreover engages communities by preparing learners with in-demand aptitudes. Its adaptable and comprehensive show has the potential to convert the advanced learning scene, making high-quality coding instruction available to all. This inquire about underscores the.
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Sarathe Krisshnan Jutoo Vijayaraghavan. "Policy as Code: A paradigm shifts in infrastructure security and governance." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 3399–405. https://doi.org/10.30574/wjarr.2025.26.1.1441.
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Policy as Code represents a transformative approach to infrastructure security and governance in modern cloud environments. By codifying security and compliance policies as machine-readable code, organizations can automate enforcement throughout the development lifecycle. This paradigm shift addresses the velocity gap between rapid development cycles and traditionally slower security processes, enabling consistent policy enforcement without sacrificing agility. The integration with CI/CD pipelines allows for "shifting left" security considerations, identifying and remediating issues before they reach production. Various implementation approaches have emerged, from open-source tools like Open Policy Agent to cloud-native solutions, each with distinct advantages. While implementation challenges exist, including policy language complexity and organizational alignment, established best practices help organizations navigate these hurdles. As infrastructure continues to evolve, Policy as Code emerges as an essential strategy for maintaining security and compliance in dynamic, cloud-native environments, transforming governance from a perceived roadblock into an enabler of innovation.
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Mitul Dilip Bhai Modi. "Transforming Software Development Through Generative AI : A Systematic Analysis of Automated Development Practices." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 536–47. http://dx.doi.org/10.32628/cseit24106197.
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This article presents a comprehensive analysis of the transformative impact of Generative Artificial Intelligence (GenAI) on software development practices. Through systematic evaluation of implementations across multiple development environments, this article demonstrates how GenAI technologies significantly enhance four critical areas of the software development lifecycle: code generation, automated testing, intelligent code review, and predictive failure analysis. The findings indicate a 45% reduction in initial code development time through automated code generation, 60% improvement in test coverage through AI-driven test case creation, and 30% decrease in post-deployment issues through predictive failure analysis. The article employs a mixed-methods approach, combining quantitative analysis of development metrics from 50 software projects with qualitative assessments from 200 professional developers across diverse organizational contexts. Results reveal that organizations implementing GenAI-assisted development workflows experience a mean productivity increase of 37% while maintaining or improving code quality metrics. Additionally, the article identifies key integration challenges and provides a framework for effective GenAI adoption in software development environments. These findings contribute to the growing body of knowledge on AI-assisted software development and offer practical insights for organizations seeking to optimize their development processes through GenAI integration.
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Anene, Emmanuel Chikwado, and David Robert Bruce. "Design and Fabrication of an Economically Viable Open-Source Programmable Rasterable System for Electroplating." ECS Meeting Abstracts MA2024-02, no. 22 (2024): 1925. https://doi.org/10.1149/ma2024-02221925mtgabs.
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The advent of an open-source programmable rasterable equipment that is economically viable represents a transformational change in three-dimensional (3D) electroplating technology, to allow researchers to design and construct their own system which is both cheaper and globally accessible. In this research, we present the design of an open-source programmable rasterable electroplating system, whose working mechanism is based on both pulse width modulation (PWM) control of plating combined with geometric code (g-code) programming for automated movement. For the PWM control, a programmable current in the range of 0 – 20 mA and voltage 0 – 5 V is written as a computer code in an Arduino integrated development environment (IDE) as controlled by a Raspberry Pi microcomputer. The code is converted from a digital signal to an analog output signal by a printed circuit board potentiostat built from common components. Concurrently, the g-code, which is a numerical model, controls the movement of the anode during electroplating in order to electrodeposit/print a physical object corresponding to a 3D designed model. The codes can be modified freely to vary the potentials during electroplating and allow users define specific electrodeposition patterns. Unlike traditional electroplating setups, our open-source programmable rasterable electroplating system was designed and constructed using globally available equipment: a Raspberry Pi 4 model B and an Arduino Uno, a printed circuit board potentiostat, and a modified Crealty Ender 3D printer. This system enables dynamic control over electrodeposition patterns and parameters. Moreover, it not only enhances efficiency and reproducibility but also democratizes access to advanced electrochemical techniques, paving the way for transformative discoveries in materials science, nanotechnology, and beyond. A discussion of equipment limitations and tradeoffs between costs, availability and performance indicates opportunities for industrial application as well as for facilitating global teaching and learning.
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Pola, Bensen Alex Urbano. "SWOT Quantitative Analysis of PGIS Environment Code 16-07A: A Transformative Advancement for Climate Action." OALib 11, no. 01 (2024): 1–25. http://dx.doi.org/10.4236/oalib.1111056.
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Ferguson, Molly. "The Changeling Legend and Queer Kinship in Caitriona Lally’s Eggshells." Irish University Review 51, no. 2 (2021): 296–311. http://dx.doi.org/10.3366/iur.2021.0520.
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In Caitriona Lally's debut novel Eggshells (2015), the narrator Vivian Lawlor is an adult woman with a quirky personality living in North Dublin, who believes herself to be a changeling. Throughout the novel, Vivian travels various paths in Dublin looking for specific ‘thin places,’ creating ‘an alternative map of Dublin’, as Claire Kilroy's review puts it. Folklore is often used as a code for hiding aspects of Irish life that are unspeakable, and in Eggshells the changeling story is a coded testimony of family violence in which the changeling figure is labelled as nonhuman. Rejected by family, she looks to queer models of kinship as outlined by Judith Butler, through transformative portals and a companion who is a fellow trauma survivor. This essay argues that, while her experience of traumatic family violence is silently coded within the changeling story, Vivian strategically deploys changeling legend to embody a nonconforming gender presentation.
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Sai Bhargav Musuluri. "Integrating AI-Driven Refactoring Tools with Human Expertise: A Java Development Perspective." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 2364–72. https://doi.org/10.32628/cseit2410612433.
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This article explores integrating AI-driven refactoring tools with human expertise in Java development environments, examining the evolution from traditional code maintenance to modern intelligent systems. The article discusses how artificial intelligence and machine learning capabilities enhance code refactoring processes while maintaining the crucial balance of human oversight. This article demonstrates the transformative impact of AI-assisted refactoring on software development practices by analyzing various implementation strategies, collaboration frameworks, and real-world case studies. The article highlights significant improvements in code quality, development efficiency, and team productivity by systematically applying AI-driven tools. Additionally, it examines the challenges and solutions in implementing these systems, particularly focusing on preserving business logic and managing technical debt. The article provides comprehensive insights into best practices for tool adoption, workflow integration, and quality control mechanisms while also exploring future trends in AI-driven development and their potential impact on software engineering practices.
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AzraJabeen, Mohamed Ali. "Automating the Code: Exploring AI-Powered Development Tool Github Copilot." International Journal of Leading Research Publication 5, no. 10 (2024): 1–9. https://doi.org/10.5281/zenodo.14646830.
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As the demand for faster and more efficient software development grows, artificial intelligence (AI) has emerged as a transformative force in automating various aspects of coding. This paper explores the integration of AI-powered development tool Github Copilot that streamlines the coding process, enhance productivity, and assist developers in solving complex programming challenges. We examine key AI-driven technologies such as code completion, bug detection, automated refactoring, and intelligent code generation, highlighting their capabilities and applications. Additionally, we analyze the role of machine learning and natural language processing in improving software development workflows, reducing human error, and enabling better decision-making. Through case studies and real-world examples, this paper assesses the benefits and limitations of AI-powered tools in coding environments, while considering ethical implications and the future of AI in programming. Ultimately, we present a comprehensive view of how AI is revolutionizing the coding landscape, paving the way for a more efficient and innovative approach to software development.
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Prakash Raj Ojha. "Democratizing Code: How GPT and Large Language Models Are Reshaping the Landscape of Software Creation." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 503–12. http://dx.doi.org/10.32628/cseit241051031.
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This article examines the transformative impact of Generative Pre-trained Transformers (GPT) and Large Language Models (LLMs) on software development practices. Through a comprehensive analysis of current literature and industry applications, we investigate how these AI-driven technologies are revolutionizing code generation, debugging, and overall development workflows. Our findings indicate that GPT and LLMs significantly enhance programmer productivity by automating routine tasks, providing real-time code suggestions, and facilitating rapid prototyping. Moreover, these models demonstrate potential in democratizing software development by lowering entry barriers for non-experts. However, the integration of AI in development processes also raises important ethical considerations and challenges, including potential biases in code generation and the changing nature of programming skills. This research contributes to the growing body of knowledge on AI-assisted software engineering and provides insights into the future trajectory of the field, suggesting that the symbiosis between human developers and AI models will likely define the next era of software development.
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Westerman, Erica L., Sarah E. J. Bowman, Bradley Davidson, Marcus C. Davis, Eric R. Larson, and Christopher P. J. Sanford. "Deploying Big Data to Crack the Genotype to Phenotype Code." Integrative and Comparative Biology 60, no. 2 (2020): 385–96. http://dx.doi.org/10.1093/icb/icaa055.
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Synopsis Mechanistically connecting genotypes to phenotypes is a longstanding and central mission of biology. Deciphering these connections will unite questions and datasets across all scales from molecules to ecosystems. Although high-throughput sequencing has provided a rich platform on which to launch this effort, tools for deciphering mechanisms further along the genome to phenome pipeline remain limited. Machine learning approaches and other emerging computational tools hold the promise of augmenting human efforts to overcome these obstacles. This vision paper is the result of a Reintegrating Biology Workshop, bringing together the perspectives of integrative and comparative biologists to survey challenges and opportunities in cracking the genotype to phenotype code and thereby generating predictive frameworks across biological scales. Key recommendations include promoting the development of minimum “best practices” for the experimental design and collection of data; fostering sustained and long-term data repositories; promoting programs that recruit, train, and retain a diversity of talent; and providing funding to effectively support these highly cross-disciplinary efforts. We follow this discussion by highlighting a few specific transformative research opportunities that will be advanced by these efforts.
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Sarat Piridi. "Demystifying copilot agents and computer use in low-code automation." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2884–93. https://doi.org/10.30574/wjaets.2025.15.2.0837.
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Copilot agents and computer use capabilities offer transformative potential in low-code automation environments by addressing longstanding challenges in traditional automation approaches. Historical limitations include brittle decision trees that collapse when business logic changes and RPA scripts that fail with minor UI updates, creating substantial technical debt and operational inefficiencies across industries. Microsoft's innovative solutions tackle these constraints by shifting from explicit instruction sets to goal-based directives, enabling systems to understand intent rather than following rigid scripted pathways. The technology harnesses advanced language models and multi-modal AI to create genuinely adaptive workflows that evolve with changing requirements. This goal-oriented article delivers adaptive decision-making, contextual awareness, and self-optimization capabilities previously unattainable with conventional automation tools. The technical foundations include natural language understanding, process reasoning engines, and sophisticated integration frameworks that collectively enable resilient enterprise automation. Organizations implementing these technologies experience marked improvements in development efficiency, operational resilience, and scalability while reducing maintenance burdens and technical debt. Implementation guidance derived from successful enterprise deployments highlights future implications for organizational structures, technology integration, and strategic adoption pathways.
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Anuja Nagpal. "AI Copilot for the Modern Developer : Leveraging GenAI in Software Development." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 702–11. http://dx.doi.org/10.32628/cseit241051056.
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This paper explores the transformative impact of AI copilots on software development, powered by Generative AI and Large Language Models. It examines how these tools enhance developer productivity, improve code quality, and democratize software development. The study delves into the core technologies behind AI copilots, including code synthesis and contextual learning, and discusses their integration with development environments. The paper also investigates the role of reinforcement learning in continuously improving AI copilots and analyzes their impact on software development practices. Additionally, it explores future prospects, including more sophisticated natural language understanding and improved cross-language support. Throughout, the paper emphasizes how AI copilots are reshaping the landscape of software engineering, potentially leading to more efficient, higher-quality, and innovative software solutions.
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Mentsiev, Adam. "Strategic integration of technology in precision agriculture." BIO Web of Conferences 84 (2024): 01026. http://dx.doi.org/10.1051/bioconf/20248401026.
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This research focuses on the strategic integration of advanced technologies in microclonal propagation for precision agriculture. The development of an automated system, incorporating computer vision, robotic manipulation, QR code identification, and cloud storage, aims to revolutionize the efficiency and precision of plant sorting processes. Computer vision facilitates early detection of viruses, while a moving platform and robotic arm enhance mobility and accuracy. The QR code system and cloud storage infrastructure enable seamless plant identification and dynamic data analysis. Challenges, including biological variability and technological obsolescence, are addressed through iterative learning and modular design. The research represents a transformative leap in agriculture, offering a promising avenue for sustainable and data-driven cultivation practices to meet the challenges of an evolving global food landscape.
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Jazyah, Yahia Hasan. "Enhancing Bit Rate using Hybrid Access Method based on NOMA and CDMA for 5G Networks." WSEAS TRANSACTIONS ON COMMUNICATIONS 22 (October 23, 2023): 125–34. http://dx.doi.org/10.37394/23204.2023.22.12.
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Non-orthogonal multiple Access (NOMA) is a transformative wireless communication technique that has gained significant attention for its ability to enhance spectral efficiency and capacity in modern communication systems. Unlike traditional orthogonal multiple access methods, which allocate separate frequency, time, or code resources to users, NOMA controls power domain multiplexing to enable multiple users to share the same time and frequency resources simultaneously. This work provides comprehensive details about NOMA and proposes a hybrid access method that benefits from NOMA and the Code Division Multiple Access (CDMA) to enhance the bit rate in the downlink from Base Station to mobile nodes. Simulation results prove that the proposed technique enhances the bit rate for users even the far ones from the base station.
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Abraham, Danna, and Tarun Abraham. "Sharp edges led us here." Murmurations: Journal of Transformative Systemic Practice 8, no. 1 (2025): 13–19. https://doi.org/10.28963/8.1.3.
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This work explores the intersections of digital technology and creative poetic expression by integrating binary code as its artistic medium. Inspired by the duality embedded in binary constructs, the authors interrogate how unseen frameworks unify ideologies while perpetuating the damaging effects of singularity. Drawing on Gottfried Leibniz’s foundational binary systems, this piece metaphorically examines the pervasive role of binary operations in modern society. The poem’s binary translation integrates code writing using Python, as a part of combined efforts to make visible the boundaries that often prevent collaboration between technological and social disciplines. By playing with these structures, the authors advocate for a shift away from binary constructs toward embracing complexity, offering a transformative lens in hopes for the reconsidering of the systems that influence human lived experiences.
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Abraham, Danna, and Tarun Abraham. "Sharp edges led us here." Murmurations: Journal of Transformative Systemic Practice 8, no. 1 (2025): 13–19. https://doi.org/10.28963/8.3.
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This work explores the intersections of digital technology and creative poetic expression by integrating binary code as its artistic medium. Inspired by the duality embedded in binary constructs, the authors interrogate how unseen frameworks unify ideologies while perpetuating the damaging effects of singularity. Drawing on Gottfried Leibniz’s foundational binary systems, this piece metaphorically examines the pervasive role of binary operations in modern society. The poem’s binary translation integrates code writing using Python, as a part of combined efforts to make visible the boundaries that often prevent collaboration between technological and social disciplines. By playing with these structures, the authors advocate for a shift away from binary constructs toward embracing complexity, offering a transformative lens in hopes for the reconsidering of the systems that influence human lived experiences.
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Jalukuri, Mahesh Babu. "Modernizing Legacy Systems: A Journey to Kubernetes-Based Microservices." European Journal of Computer Science and Information Technology 13, no. 37 (2025): 53–65. https://doi.org/10.37745/ejcsit.2013/vol13n375365.
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The modernization of legacy systems through containerization and orchestration with Kubernetes represents a transformative approach to addressing limitations in traditional monolithic architectures. This comprehensive journey encompasses architectural redesign, technological upgrades, and operational transformation to meet current business demands for agility, scalability, and innovation. The transition from tightly coupled monoliths to loosely coupled microservices enables organizations to develop, deploy, and scale components independently while improving fault isolation and resource utilization. Kubernetes serves as a foundational platform for this transformation, providing declarative configuration, self-healing capabilities, and sophisticated traffic management that collectively address traditional limitations. The modernization process requires systematic assessment frameworks, strategic decision-making between incremental and complete transformation approaches, and implementation of essential patterns including Domain-Driven Design for service decomposition and Infrastructure-as-Code for operational automation. Organizations implementing these changes experience significant improvements across operational efficiency, development velocity, and business agility dimensions. Despite implementation challenges, the resulting architectural paradigm delivers substantial benefits including enhanced reliability, improved resource utilization, and accelerated innovation cycles that position organizations for sustained competitive advantage in rapidly evolving digital environments.
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Chittibala, Dinesh Reddy. "Advancements in Automated Code Scanning Techniques for Detecting Security Vulnerabilities in Open Source Software." International Journal of Computing and Engineering 5, no. 2 (2024): 16–25. http://dx.doi.org/10.47941/ijce.1737.
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Purpose: This article aims to shed light on the transformative role of Open Source Software (OSS) in digital infrastructure and the accompanying security challenges. It highlights the critical need for automated code scanning technologies to address vulnerabilities stemming from coding errors, lack of secure coding practices, and the rapid development pace.
 Methodology: Through a comprehensive analysis of static, dynamic, and interactive code scanning methods, along with the exploration of AI and ML integration, this study examines scalable and efficient approaches to enhance detection capabilities early in the development lifecycle.
 Findings: While automated code scanning technologies have made significant strides in detecting and mitigating vulnerabilities, there remain notable research and methodology gaps, especially in technology scalability and the effectiveness of these methods.
 Unique Contribution to Theory, Policy, and Practice: This article posits a forward-looking perspective on automated code scanning, advocating for intelligent, collaborative, and integrated security measures in OSS. It emphasizes the indispensable role of community collaboration and open-source contributions in advancing these technologies, crucial for the proactive identification and mitigation of security vulnerabilities, thereby safeguarding the digital ecosystem's integrity and reliability.
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Karthik Reddy Mannem. "Demystifying Infrastructure as Code (IAC): A practical guide for DevOps professionals." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 902–11. https://doi.org/10.30574/wjaets.2025.15.2.0580.
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This comprehensive article explores Infrastructure as Code (IAC), a transformative approach for DevOps professionals managing cloud infrastructure. The article examines how IAC enables organizations to treat infrastructure configuration as software, resulting in more consistent, repeatable, and maintainable cloud environments. It provides an in-depth analysis of key benefits including consistency across environments, version control capabilities, reduced human error, and improved documentation. The article evaluates popular IAC tools including Terraform, Azure Bicep, AWS CloudFormation, and Pulu mi, examining their distinct advantages for different organizational contexts. Best practices such as modularization, parameterization, remote state management, and immutable infrastructure are thoroughly explored, alongside practical implementation strategies for organizations at any stage of adoption. The article also addresses critical security considerations including the least privilege principle, secrets management, and policy as code implementation. Drawing on extensive research and industry reports, this article offers DevOps professionals a practical roadmap for successfully implementing IAC while navigating common challenges and leveraging emerging trends.
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Trivedi, Mitul Ashvinbhai. "Building a Sentiment Classification Model with ChatGPT: A Low-Code Innovation." European Journal of Computer Science and Information Technology 13, no. 33 (2025): 76–85. https://doi.org/10.37745/ejcsit.2013/vol13n337685.
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The integration of Large Language Models like ChatGPT into machine learning workflows represents a transformative shift in how sentiment classification models are developed, making advanced artificial intelligence accessible to those without extensive programming expertise. Through structured prompting strategies, including Task-Actions-Guidelines (TAG) and Persona-Instructions-Context (PIC) frameworks, individuals with basic computational thinking can now navigate complex technical processes from data preprocessing to model evaluation. This democratized paradigm demonstrates comparable performance to traditional expert-developed solutions while dramatically reducing development time and resource requirements. Beyond technical performance, ChatGPT-guided development offers enhanced interpretability, comprehensive documentation, adaptability to changing requirements, and significant educational benefits. The resulting paradigm shift creates new opportunities across educational settings, enables interdisciplinary collaboration, accelerates implementation in industry contexts, and raises important ethical considerations around responsible AI development. By lowering technical barriers while maintaining output quality, this innovation expands participation in machine learning development to previously excluded groups, potentially unleashing diverse perspectives that will drive the next wave of innovation in artificial intelligence applications.
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Prasen Reddy Yakkanti. "AI-Augmented DevOps for Application Modernization: Transforming Software Development and Operations." Journal of Computer Science and Technology Studies 7, no. 2 (2025): 368–76. https://doi.org/10.32996/jcsts.2025.7.2.38.
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AI-augmented DevOps has emerged as a transformative paradigm for application modernization efforts, bridging the gap between traditional operational processes and modern software development needs. By integrating artificial intelligence capabilities throughout the DevOps lifecycle, organizations can overcome legacy system challenges while accelerating innovation cycles. Intelligent coding assistants enhance developer productivity and code quality, while AI-powered CI/CD pipelines optimize deployment processes through predictive algorithms and automated remediation. Advanced monitoring systems leverage machine learning for anomaly detection and predictive maintenance, significantly reducing downtime and operational costs. The organizational impact extends beyond technical improvements to include cultural shifts, skills development requirements, and structured implementation frameworks tailored to varying maturity levels. As organizations navigate digital transformation journeys, AI-DevOps integration offers a structured approach to balancing innovation with stability, ultimately delivering modernized applications with improved quality, enhanced security, and optimized total cost of ownership.