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Journal articles on the topic 'Manual testing Integration with CI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Baladari, Venkata. "End-to-End CI/CD Deployment of RESTful Microservices in the Cloud." International Journal of Core Engineering and Management 6, no. 8 (2020): 262–68. https://doi.org/10.5281/zenodo.15020514.

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Implementing RESTful microservices across various cloud platforms necessitates automation to guarantee consistency, security, and scalability. Continuous Integration/Continuous Deployment (CI/CD) pipelines optimize the integration, testing, and deployment of services, thereby minimizing manual intervention and operational risks. This study introduces a comprehensive framework for fully automated CI/CD processes, integrating Infrastructure as Code (IaC), security protocols, and monitoring software solutions. The proposal tackles crucial issues like multi-cloud compatibility, vendor lock-in, and

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Singh, Chandra Prakash. "The Role of RPA in Transforming DevOps: Driving CI/CD Efficiency and Beyond." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–6. https://doi.org/10.55041/ijsrem8160.

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The COVID-19 pandemic has profoundly reshaped the global business environment, compelling organizations to accelerate their digital transformation journeys. Remote work has become the standard, fueling an unprecedented demand for swift and dependable software delivery. This white paper delves into how Robotic Process Automation (RPA) can revolutionize DevOps practices, particularly through the automation of Continuous Integration and Continuous Deployment (CI/CD) pipelines. By integrating RPA, organizations can eliminate manual bottlenecks, enhance accuracy, and scale their software delivery p

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Chandrika, Asha Rani Rajendran Nair. "Elevating Salesforce Testing Efficiency with Copado Robotic Testing." International Scientific Journal of Engineering and Management 03, no. 12 (2024): 1–8. https://doi.org/10.55041/isjem02123.

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Salesforce testing has undergone a significant transformation, driven by the platform's rapid innovation, frequent updates, and growing implementation complexity. Traditional manual testing methods have struggled to keep pace with Salesforce’s dynamic environment, often resulting in time-intensive processes, limited coverage, inconsistent outcomes, and increased risk of human error. The need for accelerated release cycles without compromising quality has led organizations to adopt automation, enabling comprehensive regression testing and early defect detection within tighter timelines. Copado

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Praveen, Kumar Koppanati. "Implementing Dynamic Environments with GitLab CI/CD." European Journal of Advances in Engineering and Technology 9, no. 12 (2022): 175–79. https://doi.org/10.5281/zenodo.13912547.

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Dynamic environments have become essential in modern software development, allowing developers to test, stage, and deploy applications in a reliable, repeatable, and isolated manner. GitLab CI/CD offers a robust framework to build, deploy, and manage dynamic environments that scale with the needs of both small and large development teams. This paper explores the implementation of dynamic environments using GitLab CI/CD, discussing key practices, the architecture of GitLab's Continuous Integration and Continuous Deployment (CI/CD) pipeline, and methodologies for automating testing, deployment,

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Praveen, Kumar Koppanati. "Automating API Testing for Java Applications with GitLab CI/CD." European Journal of Advances in Engineering and Technology 7, no. 6 (2020): 91–95. https://doi.org/10.5281/zenodo.14045033.

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Automation has steadily become a critical aspect of software development in recent years. Continuous integration and deployment are vital components in making software development workflows more manageable. One of the most popular CI/CD tools that has proven to be versatile and integrable with every programming language and platform available is GitLab. The most crucial benefit of automating Application Programming Interface in Java applications is the ability to generate quicker feedback, improve code quality and escape manual testing. This paper addresses the approaches and best practices wh

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Vincentius Agung Prabandaru, Andi Wahju Rahardjo Emanuel, and Findra Kartika Sari Dewi. "Evaluasi Performa CI/CD Menggunakan Cloud Build Pada Aplikasi Web." Jurnal Informatika Atma Jogja 5, no. 2 (2024): 181–90. https://doi.org/10.24002/jiaj.v5i2.10707.

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Abstract. In the application development process, the deployment phase is a crucial step to ensure the application reaches its users. Frequent application development and repeated processes, even for minor changes, can be cumbersome. Automating this process can positively impact time management, allowing resources to be allocated to other tasks. Automating the deployment phase of application development leverages the implementation of continuous integration/continuous deployment (CI/CD). This study uses a web application built with React, JavaScript, and MySQL. The services utilized include GC

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Divya Kodi. "Efficient CI/CD Strategies: Integrating Git with automated testing and deployment." World Journal of Advanced Research and Reviews 20, no. 2 (2023): 1517–30. https://doi.org/10.30574/wjarr.2023.20.2.2363.

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Continuous Integration( CI) and Continuous Deployment (CD) allow prompt delivery of quality software with lesser disruption between development teams. With this simple yet effective Process, Git is a superb tool; the utility combination of Git with some YAML CI/CD templates makes us a better CI/CD pipeline. Keywords: Continuous integration and delivery, Continuous integration and delivery with Git, Automated testing and deployment, Lean continuous integration and delivery, Agile software development 1. Introduction Continuous Integration (CI) and Continuous Delivery (CD) are two of the most vi

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Sachin, R. Doddaguni, R. Rohith, Asif S. Salman, and M. N. Manas. "Understanding SDLC using CI/CD pipeline." International Journal of Soft Computing and Engineering (IJSCE) 9, no. 6 (2020): 22–25. https://doi.org/10.35940/ijsce.F3405.059620.

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Development of complex and quality software necessitates the use of a development model, so that the development process is efficient, reliable and faster. Software development life cycle (SDLC) is a well-defined and wellorganized process used to plan, develop, deploy and maintain high quality software systems. DevOps is one recent addition to SDLC that ensures that the development and operations team collaborate to accelerate the deployment and delivery of higher quality software products. This paper throws a light on how development processes are accelerated using DevOps tactics like continu

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Patole, Chinmay B., Ayush Sankhe, Sohan Patil, Nihar R. Patil, and Dr Suvarna Pansambal. "AWS TECHNOLOGY: The Ultimate CI/CD Devops Pipeline Technology with the Help of Jenkins." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–7. https://doi.org/10.55041/ijsrem43934.

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A CI/CD pipeline is an automated framework that coordinating, tests, and conveys code changes ceaselessly, allowing for quicker and more solid updates to applications. A Continuous Integration/Continuous Deployment (CI/CD) pipeline utilizing Jenkins, is popular open-source mechanization server. The pipeline will automate the build, test, and arrangement of computer program applications, guaranteeing speedier time to- market, progressed quality, and diminished manual exertion. Automated testing and reporting are moreover executed, enabling high-quality program discharges and recognizing abandon

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Khan, Abdul, Aman Shaikh, Imran Tadwal, Yash Bhadkumbe, and Prof S. A. Nandi. "Continuous Integration, Continuous Delivery Pipeline with AI Integration." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem39159.

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In today’s fast-paced tech world, dropping apps quickly while keeping them top-tier is non-negotiable. This project dives into fixing the grind of traditional, error-prone software development by rolling out a Continuous Integration and Continuous Deployment (CI/CD) pipeline on Amazon Web Services (AWS). The idea is simple: ditch the old-school manual hustle and use automation tools to totally revamp the software game. From coding to deployment, everything gets faster, smarter, and way more reliable—no more messy releases or unnecessary delays. Back in the day, manual processes were a total bu

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Eric Prima Wijaya, Sandy Kosasi, and David. "Implementing Continuous Integration and Deployment Strategy: Cloversy.id RESTful API Development." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 8, no. 3 (2024): 368–76. http://dx.doi.org/10.29207/resti.v8i3.5527.

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The software development cycle involves testing and deployment stages that can be laborious and time consuming, especially in collaborative projects that involve several developers. Implementing Continuous Integration (CI) and Continuous Delivery (CD) offers a solution to streamline this process. This study presents a case study of the Cloversy.id RESTful API project, highlighting challenges encountered during development and the implementation of a new system using GitHub Actions as the DevOps tool. The research resulted in the adoption of a new system, which replaces the conventional practic

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Singh, Nikhil. "CI/CD Pipeline for Web Applications." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5218–26. http://dx.doi.org/10.22214/ijraset.2023.52867.

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Abstract: Modern organisation’s rapid pace of software development necessitates teams delivering high-quality software products faster than ever before. In order to accomplish this, software development teams are incorporating continuous integration and continuous deployment (CI/CD) methodologies into their software development processes. CI/CD pipelines are a set of practises and tools that allow teams to efficiently and reliably automate the development, testing, and deployment of software products. CI/CD pipelines have become an essential tool for teams delivering web applications at a fast

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Farooq Abdulla Mulla. "Modern Mobile Testing Tools: A Comprehensive Guide to Quality Assurance and Automation." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1577–84. https://doi.org/10.32628/cseit241061203.

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This comprehensive article explores the evolving landscape of mobile application testing tools and methodologies, emphasizing the critical importance of quality assurance and automation in modern software development. The article examines various aspects of mobile testing, including accessibility tools, debugging solutions, security testing frameworks, automated testing platforms, performance monitoring systems, and CI/CD integration strategies. Through detailed analysis of current industry practices and emerging technologies, the article highlights the transformation of testing approaches fro

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Schubert, Anja, and Robert Argent. "Promoting scientific software quality through transition to continuous integration and continuous delivery." Socio-Environmental Systems Modelling 6 (December 3, 2024): 18779. https://doi.org/10.18174/sesmo.18779.

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Software quality has been an issue for decades in many areas of scientific modelling for environment applications. Much of the software that has been developed is well-suited to supporting research investigation and application in one-off curated application environments, such as delivering solutions through community-based participatory approaches. However, when releasing the software into constrained production environments, with everyday operational challenges such as missing data, unintended user inputs, variable data quality, and values outside the bounds of those previously tested, lacks

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Gopinath Kathiresan. "Automated Test Case Generation with AI: A Novel Framework for Improving Software Quality and Coverage." World Journal of Advanced Research and Reviews 23, no. 2 (2024): 2880–89. https://doi.org/10.30574/wjarr.2024.23.2.2463.

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Modern software testing has become imperative as testing is being automated test case generation: it makes the test efficient, accurate and completely covered. Traditionally, scalability, adaptability, and completeness are the Achilles heels of scalability of traditional testing methods as manual and scripted. In this paper, we introduce a novel AI driven framework for automated test case generation based on deep learning and reinforcement learning using evolutionary algorithm to improve test case generation process. It provides an effective test coverage by dynamically generating and prioriti

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Swamy Prasadarao Velaga. "AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS." International Journal of Innovations in Engineering Research and Technology 5, no. 2 (2018): 78–85. http://dx.doi.org/10.26662/ijiert.v5i2.pp78-85.

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The purpose of this research study is to review and analyze the automated testing frameworks thoroughly with the main areas of focus on the quality assurance of the software and the minimization of testing that is done manually. The research aims and objectives are as follows: This is in relation to the historical development of these frameworks, their types, and their essential characteristics The examination of their effectiveness in enhancing software quality Determine the extent of diminished manual testing efforts The examination of the various ineffectiveness and drawbacks related to the

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Researcher. "INTEGRATING AI/ML INTO DEVSECOPS: STRENGTHENING SECURITY AND COMPLIANCE IN CLOUD-NATIVE APPLICATIONS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 1128–48. https://doi.org/10.5281/zenodo.14043775.

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Cloud-native application security in contemporary enterprise settings can be revolutionized by incorporating Artificial Intelligence (AI) and Machine Learning (ML) into DevSecOps procedures. This thorough examination looks at how businesses may improve security testing automation, vulnerability identification, and compliance monitoring across the development lifecycle by utilizing AI/ML capabilities. Organizations report up to 76% fewer false positives, 88% higher threat detection accuracy, and 71% quicker vulnerability remediation, according to the study, which is based on substantial industr

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Omoniyi Babatunde Johnson, Jeremiah Olamijuwon, Zein Samira, Olajide Soji Osundare, and Harrison Oke Ekpobimi. "Developing advanced CI/CD pipeline models for Java and Python applications: A blueprint for accelerated release cycles." Computer Science & IT Research Journal 5, no. 12 (2024): 2645–63. https://doi.org/10.51594/csitrj.v5i12.1758.

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In the fast-paced world of software development, Continuous Integration (CI) and Continuous Deployment (CD) pipelines have become essential for achieving rapid, reliable, and automated release cycles. This review presents a blueprint for developing advanced CI/CD pipeline models tailored specifically for Java and Python applications, two of the most widely used programming languages in enterprise environments. The goal is to streamline software delivery, reduce manual intervention, and enhance overall system resilience. The proposed framework includes leveraging modern CI/CD tools, such as Jen

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Rahul M Salagundi and Savitha R. "Automated reporting and statistical analysis of test case results in continuous integration: A custom dashboard approach." World Journal of Advanced Engineering Technology and Sciences 13, no. 1 (2024): 027–33. http://dx.doi.org/10.30574/wjaets.2024.13.1.0374.

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CI has been one of the cornerstones of modern software development, where teams integrate code changes frequently and have automated testing to receive fast feedback. Running a large amount of test data, however, is overwhelming and can be fatiguing in extracting meaningful insights from traditional reporting methods like email notifications. The paper presents a bespoke dashboard, designed to support the extension of automation in test case result reporting and analysis within a CI environment by real-time data visualization, interactivity in filtering and sorting, and statistical insights th

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Reagan Panguraj, Antony Ronald. "End-to-End Automation of Software Development Lifecycle (SDLC) Tools and Processes." International Journal of Multidisciplinary Research and Growth Evaluation. 2, no. 6 (2021): 438–41. https://doi.org/10.54660/.ijmrge.2021.2.6.438-441.

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The end-to-end automation approach for the Software Development Lifecycle (SDLC) now represents a fundamental solution to enhance development speed and minimize mistakes while improving productivity. Modern software development needs complete integration between stages for successful planning design development testing deployment and maintenance processes. The use of traditional manual approaches leads to delayed release schedules together with elevated mistake frequencies and elevated expenses. Software automation fights these development issues through simplified software development lifecyc

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Karthik Ravva. "Automated compliance verification for AI models in enterprise Cloud MLOps Pipelines." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 1035–42. https://doi.org/10.30574/wjarr.2025.26.3.2167.

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Ensuring that AI models used in business intelligence systems comply with regulations represents a critical governance challenge as rapid development cycles enabled by MLOps on cloud platforms accelerate model deployment. Manual verification processes prove slow, error-prone, and unscalable in this environment. This article explores techniques and frameworks for automating compliance verification directly within cloud-based MLOps pipelines, investigating the integration of automated checks for fairness, explainability, privacy protection, and robustness testing. The integration of these verifi

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Iman, Ragil Nur. "Tranformasi Digital dalam Integrasi AI dan Machine Learning menggunakan Automasi Testing." SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI 35, no. 2 (2025): 34–41. https://doi.org/10.37277/stch.v35i2.2344.

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Transformasi digital telah menjadi pendorong utama dalam pengembangan teknologi informasi modern, khususnya dalam integrasi Artificial Intelligence (AI) dan Machine Learning (ML). Proses ini menuntut adaptasi sistem yang lebih canggih, cepat, dan andal. Salah satu pendekatan penting dalam mendukung transformasi ini adalah penerapan automasi testing. Automasi testing memainkan peran krusial dalam memastikan kualitas, stabilitas, dan kecepatan implementasi sistem berbasis AI/ML. Melalui automasi, pengujian terhadap model-model AI dan ML dapat dilakukan secara efisien, mulai dari validasi data, e

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Nasedkin, Oleg, Denis A. Vasil’ev, and Maksim Butuzov. "The System of Automatic Testing of the Technological Software of Microprocessor Centralization Systems." Intellectual Technologies on Transport, no. 2 (June 26, 2025): 93–102. https://doi.org/10.20295/2413-2527-2025-242-93-102.

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Automated testing of technological software for computer-based interlocking systems is of critical importance in ensuring the safety of railway traffic. Introduction: as the CBI software components become more complex, so manual testing methods are no longer adequate. Purpose: to develop an automated testing system for the CBI software based on a scripting approach that ensures the overall verification of functional requirements and the correctness of the algorithms. Methods: a hybrid approach combining the Lua scripting language for describing test scenarios, a virtual environment for simulat

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Shinde, Snehal Hanumant, and Sonali Sagar Gholve Prof. "Performance and Scalability of Testing Using Automation." International Journal of Advance and Applied Research S6, no. 23 (2025): 88–91. https://doi.org/10.5281/zenodo.15193537.

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<em>Performance and scalability testing are essential to ensure that software applications function optimally under different workloads. As applications grow in complexity, manual testing becomes inefficient, making automation a necessity. Automated performance testing enables developers to simulate real-world usage conditions, quickly identify bottlenecks, and optimize system performance before deployment. This paper discusses the role of automation in performance and scalability testing, highlighting key methodologies and tools such as JMeter, LoadRunner, Gatling, and Locust. Automated testi

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Twinkle, Joshi. "Breaking Down Automation Frameworks: Building Blocks for Better Testing." European Journal of Advances in Engineering and Technology 11, no. 11 (2024): 104–16. https://doi.org/10.5281/zenodo.15234713.

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Automation frameworks are the cornerstone of efficient and scalable software testing, providing structured methodologies and reusable components to enhance quality assurance and streamline processes. This article explores the essential building blocks of automation frameworks, highlighting their role in transforming testing practices through advanced tools, design patterns, and innovative approaches. By automating repetitive tasks, frameworks enable QA professionals to focus on high-value activities such as test design and usability evaluations, delivering benefits including improved accuracy,

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Widiaty, Isma, Lala Septem Riza, Ade Gafar Abdullah, and Sugeng Rifqi Mubaroq. "Multiplatform Application Technology – Based Heutagogy on Learning Batik: A Curriculum Development Framework." Indonesian Journal of Science and Technology 5, no. 1 (2020): 45–61. http://dx.doi.org/10.17509/ijost.v5i1.18754.

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This study aimed to design a batik learning medium for vocational high school students in based on multiplatform. The application made was expected to support heutagogy approach – based learning and to deal with the development of science and technology integrated in the curriculum of vocational high schools. The application developed, namely e-botik, was an integration of several previously-designed applications using Code ignitor (CI) framework. The database used was My-SQL. It is commonly known that Code igniter is an open source web application framework utilized to create dynamic PHP appl

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Kumaresan, Durvas Jayaraman, and Rastogi Deependra. "Best Practices for DevOps Integration in Enterprise Software Development." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2025): 3464–76. https://doi.org/10.5281/zenodo.14769328.

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DevOps, a set of practices aimed at automating and integrating the processes of software development (Dev) and IT operations (Ops), has gained significant traction in enterprise software development. By fostering collaboration between development and operations teams, DevOps accelerates the software delivery lifecycle, increases deployment frequency, and enhances the quality of releases. As organizations scale and embrace digital transformation, integrating DevOps practices has become essential to meet the ever-growing demands of fast, reliable, and secure software delivery. However, integrati

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Hanzha, A., and S. Antonenko. "Automation of development of Win32 desktop applications: Practical approaches and strategies." System technologies 1, no. 156 (2025): 12–22. https://doi.org/10.34185/1562-9945-1-156-2025-02.

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The article presents a comprehensive analysis of modern approaches to automating the development of Win32 desktop applications using DevOps practices. Given the complexity and growing requirements of desktop applications in today's software industry, automation becomes an essential part of the development process. The article examines key phases such as Continuous Integration (CI) and Continuous Deployment (CD), which are vital for stream-lining the development lifecycle by automating builds, tests, and deployments. These practices help developers reduce the time spent on manual operations and

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Mokale, Mahesh. "Automated Debugging and Deployment for High-Performance Telecom Applications." International Scientific Journal of Engineering and Management 02, no. 11 (2023): 1–8. https://doi.org/10.55041/isjem00206.

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Abstract: High-performance telecom applications require efficient debugging and deployment strategies to ensure reliability, scalability, and seamless operations. These applications operate within highly complex and distributed environments where even minor failures or inefficiencies can result in significant service disruptions, financial losses, and customer dissatisfaction. Given the critical role telecom applications play in enabling global communication networks, minimizing downtime, optimizing system performance, and maintaining operational continuity is a top priority for telecom servic

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Twinkle Joshi. "Architecting Agentic AI for Modern Software Testing: Capabilities, Foundations, and a Proposed Scalable Multi-Agent System for Automated Test Generation." Journal of Information Systems Engineering and Management 10, no. 52s (2025): 625–38. https://doi.org/10.52783/jisem.v10i52s.10768.

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The progression of software testing has evolved from manual processes to automated systems. However, the emergence of Agentic AI-driven testing represents the next transformative leap. These intelligent agents autonomously generate, execute, and optimize tests, redefining the quality assurance (QA) landscape. Agentic AI—defined by its capacity to independently perceive, plan, execute, and learn—has emerged as a transformative force in software testing. This article examines the impact of Agentic AI on the software testing lifecycle, highlighting its core capabilities, such as dynamic test gene

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Mutie, Onesmus Muti, Kenneth Ngure, and Aggrey Gisiora Mokaya. "Risky sexual behaviours and utilization of HIV testing services among the adolescent girls and young women aged between 15-24 years in Kibra Sub County, Nairobi County, Kenya." Open Research Europe 4 (January 31, 2025): 106. https://doi.org/10.12688/openreseurope.17609.2.

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Background HIV remains a significant global health challenge, disproportionately affecting adolescent girls and young women (AGYW). HIV testing is crucial in controlling transmission and reducing its prevalence. Understanding risky sexual behaviours among AGYW is pivotal in aligning prevention interventions. Despite global prevention efforts, testing gaps persist among AGYW, linked to risky sexual behaviour (RSB). This study explores the association between these behaviours and HIV testing utilization among AGYW (aged 15–24) in Kibra Sub County, Nairobi. Methods A cross-sectional study sampled

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Hunko, Ihor. "Optimize Mobile App Testing Using Machine Learning to Improve User Experience." Asian Journal of Research in Computer Science 18, no. 5 (2025): 403–18. https://doi.org/10.9734/ajrcos/2025/v18i5663.

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Aims: The study delves into the machine learning (ML) paradigm shift in enhancing mobile application testing processes for higher accuracy, efficiency, and overall user experience, with a particular focus on Decision Tree and Random Forest models. Study Design: Experimental Research Design. Methodology: The research applies an experimental A/B testing framework using real-world datasets and cloud-based testing environments (e.g., Firebase Test Lab) to compare ML-driven and traditional testing approaches. Techniques include automated UI defect detection through convolutional neural networks, re

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Golian, Nataliia, and Varvara Tisheninova. "INTEGRATED GRAPH-BASED TESTING PIPELINE FOR MODERN SINGLE-PAGE APPLICATIONS." Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no. 1 (13) (July 11, 2025): 51–59. https://doi.org/10.20998/2079-0023.2025.01.08.

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In the modern software development ecosystem, Single-Page Applications (SPAs) have become the de facto standard for delivering rich, interactive user experiences. Frameworks such as React, Vue, and Angular enable developers to build highly responsive interfaces; however, they also introduce intricate client-side state management and complex routing logic. As applications grow in size and complexity, manually writing and maintaining end-to-end tests for every possible user journey becomes infeasible. Moreover, ensuring comprehensive coverage − across functionality, security, performance, and us

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Jawalkar, Santosh Kumar. "Machine Learning in QA: A Vision for Predictive and Adaptive Software Testing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 05, no. 07 (2021): 1–7. https://doi.org/10.55041/ijsrem9725.

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Background & Problem Statement - Software testing is a critical phase in the software development lifecycle (SDLC), ensuring that applications function correctly, meet user requirements, and maintain high- quality standards. Traditional software testing approaches, including manual testing and rule-based automation, often face challenges in scalability, efficiency, and adaptability to dynamic software environments. Traditional testing methods are overwhelmed by complex software systems which slows down defect detection and extends both testing costs and release schedules. Machine Learning

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Adeoye Idowu Afolabi, Naomi Chukwurah, and Olumese Anthony Abieba. "Implementing cutting-edge software engineering practices for cross-functional team success." Gulf Journal of Advance Business Research 3, no. 3 (2025): 799–824. https://doi.org/10.51594/gjabr.v3i3.113.

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Implementing cutting-edge software engineering practices is crucial for enhancing the efficiency and success of cross-functional teams. This review explores the integration of advanced methodologies such as Agile, DevOps, and Continuous Integration/Continuous Deployment (CI/CD) to foster collaboration and innovation across diverse teams within an organization. Agile methodologies emphasize iterative development and flexible responses to change, allowing cross-functional teams to rapidly adapt to evolving project requirements. Agile practices such as Scrum and Kanban facilitate clear communicat

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Thota, Ravi Chandra. "Enhancing Infrastructure as Code (IaC) with Automated Validation for Reliable and Error-Free Deployments." Journal of Artificial Intelligence Research and Applications 4, no. 1 (2024): 827–47. https://doi.org/10.5281/zenodo.15078796.

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Abstract: Infrastructure as Code (IaC)Is turned out to be a transformative practise in modern software deployment and system managementwhich allows automation and consistency across development and production environment. Despitepromise for deficient and scalable deployments, IaChas inbuilt challenge specially related to the potential for human error and difficulty to ensure reliability and correctness of configuration. The aim of this research paper is to explore the integration of automated validation technique into IaC workflow which canenhance the reliability and accuracy of infrastructure

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Aung, Thazin N., Matthew Liu, David Su, et al. "Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma." JAMA Network Open 8, no. 7 (2025): e2518906. https://doi.org/10.1001/jamanetworkopen.2025.18906.

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ImportanceTumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologist-read TIL assessment on hematoxylin and eosin–stained slides is prone to interobserver variability, leading to inconsistent clinical decisions. Therefore, development of newer TIL scoring approaches that produce more reliable and consistent readouts is important.ObjectiveTo evaluate the analytical and clinical validity of a machine learning algorithm for TIL quantification in melanoma compared with traditional pat

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Pareek, Chandra Shekhar. "Next-Gen Test Automation in Life Insurance: Self-Healing Frameworks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem9554.

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The exponential complexity of contemporary Life Insurance applications - shaped by stringent regulatory compliance requirements, dynamic customer - centric innovation, and expansive product diversification - has magnified the challenges of maintaining traditional test automation frameworks. These frameworks often falter under the weight of frequent application updates, evolving user interfaces (UI), and fluctuating backend integrations, leading to brittle test scripts and heightened maintenance costs. Self-healing test automation frameworks offer a cutting-edge, AI-driven solution to this para

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Pysanko, Victor, Tetiana Kholodenko, Iryna Sapizhak, and Larisa Kud. "Translation in Ukrainian and adaptation of the English questionnaires: scales of meaningful auditory integration (MAIS) and scales of meaningful language use (MUSS) scales for assessing language development in children with deafness after cochlear implantation." OTORHINOLARYNGOLOGY, No2(4) 2021 (March 24, 2021): 22–36. http://dx.doi.org/10.37219/2528-8253-2021-2-22.

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Introduction: The world community is concerned with the assessment of the speech and hearing development of children with sensorineural deafness after cochlear implantation, since the most important result of rehabilitation is the success of social integration of such children. In most countries of the world, the Meaningful Auditory Integration Scale (MAIS) and the Meaningful Use of Language Scale (MUSS) are used to assess the auditory and language integration of children with sensorineural hearing loss after cochlear implantation (CI). Unfortunately, in Ukraine there are still no Ukrainian qu

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Ye, Zezhong, Anurag Saraf, Yashwanth Ravipati, et al. "Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer." JAMA Network Open 6, no. 8 (2023): e2328280. http://dx.doi.org/10.1001/jamanetworkopen.2023.28280.

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ImportanceSarcopenia is an established prognostic factor in patients with head and neck squamous cell carcinoma (HNSCC); the quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can be derived from cervical skeletal muscle segmentation and cross-sectional area. However, manual muscle segmentation is labor intensive, prone to interobserver variability, and impractical for large-scale clinical use.ObjectiveTo develop and externally validate a fully automated image-based deep learning platform for cervical vertebral muscle segmentat

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Edgcomb, Juliet Beni, Chi-hong Tseng, Mengtong Pan, Alexandra Klomhaus, and Bonnie T. Zima. "Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches." JMIR Mental Health 10 (July 21, 2023): e47084. http://dx.doi.org/10.2196/47084.

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Background Although suicide is a leading cause of death among children, the optimal approach for using health care data sets to detect suicide-related emergencies among children is not known. Objective This study aimed to assess the performance of suicide-related International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes and suicide-related chief complaint in detecting self-injurious thoughts and behaviors (SITB) among children compared with clinician chart review. The study also aimed to examine variations in performance by child sociodemographics and ty

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Gopinath Kathiresan. "Evaluating the impact of Devsecops on software quality: A systematic review and empirical study." World Journal of Advanced Research and Reviews 14, no. 1 (2022): 644–53. https://doi.org/10.30574/wjarr.2022.14.1.0267.

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Security throughout the software development lifecycle is the prime concern in the current software engineering, thus giving rise to a natural evolution, DevSecOps, from DevOps. It, from the very outset of development, integrates security into the whole process and ensures its way into every phase of the software delivery pipeline, as opposed to the earlier paradigms of software development that would always consider security as an afterthought. Using a systematic literature review and an empirical study, this research investigates the influences of DevSecOps practices on quality, security, an

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Karacali, Huseyin, Nevzat Donum, and Efecan Cebel. "Enhancing Workflow Efficiency in Yocto Project: A Build Tool for Fetch Error Detection and Fixing." European Journal of Research and Development 4, no. 2 (2024): 49–76. http://dx.doi.org/10.56038/ejrnd.v4i2.430.

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Yocto Project is conceived as an initiative to provide developers with a flexible and efficient environment for preparing customized embedded Linux distributions. However, while bestowing upon developers the flexibility to create bespoke embedded Linux distributions, this project introduces various challenges. These challenges transcend mere technical proficiency, influencing critical barriers that impact the successful completion of the project. These difficulties encompass the steep learning curve of the Yocto Project, the intricacies of complex configuration files, and the management of dep

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Soesanto, Anthony Carl, and Viany Utami Tjhin. "Using Katalon Studio for Automation Testing Development of Risk Management Applications Using the Scrum Method at PT. Teknologi Nirmala Olah Daya Informasi." Cakrawala Repositori IMWI 7, no. 3 (2024): 1205–16. http://dx.doi.org/10.52851/cakrawala.v7i3.711.

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Software testing is a crucial stage in the software development cycle, and it can be divided into two main categories: manual testing and automated software testing. Automated testing can be further divided into Uni, Integration, and UI testing. This paper analyzes the scenario testing process and evaluation results using the Katalon Studio automation testing tool. The data taken from the manual test is a test case from the user acceptance test (UAT) document, while the automatic test data uses the Katalon studio tool. Then, the results of manual testing and automated testing will be compared.

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Ibworo, Vincent O., and Anne A. Ibworo. "Healthcare Workers Factors Contributing to HIV Testing Service Integration in Primary Healthcare Facilities of Homa Bay County, Western Kenya." Asian Journal of Research in Infectious Diseases 16, no. 4 (2025): 66–73. https://doi.org/10.9734/ajrid/2025/v16i4440.

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Introduction: HIV Testing Service Integration refers to the process of embedding HIV testing and related services into the existing healthcare systems and other service delivery platforms. This approach ensures HIV testing is not provided in isolation but as part of a comprehensive package of health services. The goal of HIV Testing Service Integration is to make testing accessible, convenient and non-stigmatizing, while also improving efficiency and overall healthcare delivery focused at improving patient outcomes. Methods: This cross-sectional study aimed to determine Healthcare Workers (HCW

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R.Shankar and D. Sridhar Dr. "A Comprehensive Review on Test Case Prioritization in Continuous Integration Platforms." International Journal of Innovative Science and Research Technology 8, no. 4 (2023): 3223–29. https://doi.org/10.5281/zenodo.8282823.

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Continuous Integration (CI) platforms enable recurrent integration of software variations, creating software development rapidly and cost-effectively. In these platforms, integration, and regression testing play an essential role in Test Case Prioritization (TCP) to detect the test case order, which enhances specific objectives like early failure discovery. Currently, Artificial Intelligence (AI) models have emerged widely to solve complex software testing problems like integration and regression testing that create a huge quantity of data from iterative code commits and test executions. In CI

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Wayan, Deden Setyawan, Piarsa I Nyoman, and Putu Wira Buana. "Integrasi Infrastructure as Code dengan Continuous Integration/Continuous Deployment di Google Cloud Platform." JURNAL FASILKOM 14, no. 2 (2024): 346–54. https://doi.org/10.37859/jf.v14i2.7236.

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Integrasi IaC (Infrastructure as Code) dengan CI/CD (Continuous Integration/Continuous Deployment) membantu dalam menghasilkan perangkat lunak yang memiliki kualitas dan produktivitas yang tinggi. Pengujian yang dilakukan berupa perbandingan deployment infrastruktur secara manual dan otomatis dan menilai efektivitas dan efisiensi cara deployment. Pengujian untuk memastikan infrastruktur yang dibuat sudah berjalan dengan baik yaitu melakukan deployment aplikasi sederhana. Penelitian dimulai dari membuat desain infrastruktur, konfigurasi IaC Terraform, pembuatan script CI/CD, deployment infrastr

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Kusumadewi, Rismanda, and Ronald Adrian. "Performance Analysis of Devops Practice Implementation Of CI/CD Using Jenkins." MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) 15, no. 2 (2023): 90–95. http://dx.doi.org/10.18860/mat.v15i2.17091.

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Continuous Integration and Continuous Delivery (CI/CD) are methods used in agile development to automate and speed up the process of building, testing, and validating services. To support and simplify all development and deployment processes, several methods such as containerized and CI/CD automation are needed. In this research, a DevOps Practice is carried out which includes process integration, deployment, and testing automatically using a tool called Jenkins. These tools are open source automation servers to help the Continuous Integration and Continuous Deployment process. Jenkins is equi

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Nagaraju Thallapally. "Implementing continuous integration and continuous deployment (CI/CD) pipelines." International Journal of Science and Research Archive 3, no. 2 (2021): 248–53. https://doi.org/10.30574/ijsra.2021.3.2.0073.

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Continuous Integration (CI) and Continuous Deployment (CD) are fundamentals of today’s software development to deliver quality code, deliver faster, and reduce the cost of deployment. Automation of integration and deployment helps teams find the faults before they are found and eliminate manual effort during the development lifecycle with CI/CD pipelines. This article talks about the main parts of CI/CD pipelines, their benefits, best practices, and the tools available to help them. We also cover common organizational barriers to CI/CD implementation and give you solutions for how to overcome

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Lee, Seyoung, Amogh Hiremath, Jeeyeon Lee, et al. "Abstract 2594: AI-powered radiomics model predicts immune checkpoint inhibitor-related pneumonitis (CIP) in advanced NSCLC patients." Cancer Research 84, no. 6_Supplement (2024): 2594. http://dx.doi.org/10.1158/1538-7445.am2024-2594.

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Abstract Background: With the escalating integration of immunotherapy in the management of advanced non-small cell lung cancer (NSCLC), the emergence of adverse events, particularly immune checkpoint inhibitor-related pneumonitis (CIP), poses important challenges. CIP is not uncommon and can be life-threatening. It often necessitates the discontinuation of immunotherapy, even in patients with an otherwise favorable response. Prevention, early detection and early management of CIP can enhance patient outcomes, yet no such predictive models have been established. This study investigates the use

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