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Journal articles on the topic 'Manual testing Integration with CI/CD pipelines'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Dachepally, Raju. "Continuous Integration and Continuous Delivery (CI/CD) Pipelines: Best Practices for Modern Enterprises." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 05, no. 10 (2021): 1–8. https://doi.org/10.55041/ijsrem10912.

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Continuous Integration (CI) and Continuous Delivery (CD) pipelines have become indispensable for modern enterprises aiming to achieve agile and scalable software development. This paper explores best practices for designing and implementing robust CI/CD pipelines, focusing on efficiency, security, and scalability. Key strategies include automated testing, pipeline as code, and integrating security measures. The paper features diagrams, flowcharts, and pseudocode to provide actionable insights. Future trends and challenges in CI/CD adoption are also discussed. Keywords CI/CD Pipelines, Automati

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Vivek, Jain. "Continuous Testing in CI/CD Pipelines." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 9, no. 1 (2023): 1–7. https://doi.org/10.5281/zenodo.14883221.

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The rapid evolution of software development methodologies has placed increasing emphasis on the need for efficiency, reliability, and speed in delivering high-quality applications. Continuous Integration and Continuous Deployment (CI/CD) have become fundamental in modern DevOps practices, enabling seamless and frequent software releases. At the heart of this automation-driven approach lies Continuous Testing (CT), a critical process that ensures software quality by verifying each code change before deployment. Unlike traditional testing methods that occur later in the development lifecycle, Co

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Namsraidorj, Munkhtsetseg, Sanchirjav Lkhaasuren, Bagabold Gendensuren, Khantulga Radnaa, Javkhlan Rentsendorj, and Amirlan Enkhtur. "Continuous Integration and Delivery of Software products: Pipeline implementation." International Journal of Engineering and Computer Science 13, no. 05 (2024): 26172–77. http://dx.doi.org/10.18535/ijecs/v13i05.4821.

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Continuous practices, i.e., continuous integration, delivery, and deployment, are the software development industry practices that enable organizations to frequently and reliably release new features and products. CI/CD is the best practice for teams using a DevOps methodology and is best suited to agile methodologies. CI/CD automates code integration and delivery, allowing software development teams to focus more on business requirements. Implementing CI/CD and automating the delivery process from application development to the live environment using pipelines, reducing the time and errors du

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Tarun, Parmar. "Implementing CI/CD in Data Engineering: Streamlining Data Pipelines for Reliable and Scalable Solutions." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 13, no. 1 (2025): 1–8. https://doi.org/10.5281/zenodo.14762684.

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Continuous Integration and Continuous Delivery (CI/CD) have become crucial practices in modern data engineering, streamlining the development and deployment of data pipelines. This study explores the implementation of CI/CD principles in data engineering, highlighting its benefits, methodologies, best practices, challenges, and future directions. By automating the building, testing, and deployment processes, the CI/CD ensures reliability, consistency, and efficiency in data pipeline development. The key steps in implementing CI/CD for data pipelines include version control, modular pipeline de

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Narendar, Kumar Ale. "Integrating Performance Testing into CI/CD Pipelines for Test Automation." Journal of Scientific and Engineering Research 7, no. 6 (2020): 272–78. https://doi.org/10.5281/zenodo.12754783.

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Integrating performance testing into Continuous Integration and Continuous Deployment (CI/CD) pipelines is essential for ensuring the scalability, reliability, and responsiveness of modern software applications. This paper explores the strategies, tools, and best practices for embedding performance testing into CI/CD workflows, emphasizing the benefits and challenges of this integration within the context of test automation. By incorporating performance tests early and continuously in the development lifecycle, organizations can detect performance issues promptly and deliver high-quality softw

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Ponaka, Kamalakar Reddy. "Systematic Approach to Prevent Code Vulnerabilities using CI/CD Pipelines." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem7171.

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This paper discusses a systematic approach to integrating Static Application Security Testing (SAST), Software Composition Analysis (SCA), Code Coverage, and Code Quality Checks into Continuous Integration/Continuous Delivery (CI/CD) pipelines. Modern CI/CD pipelines accelerate software delivery but introduce significant security and quality challenges. By incorporating SAST and SCA for security testing, along with code coverage and quality checks, organizations can prevent code vulnerabilities and ensure the maintainability and reliability of their applications. This approach helps developmen

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SWAMY, PRASADARAO VELAGA. "AUTOMATED MODEL TESTING AND VALIDATION IN CI/CD PIPELINES FOR AI APPLICATIONS." International Journal of Innovative Research and Creative Technology 3, no. 6 (2017): 1–9. https://doi.org/10.5281/zenodo.12805430.

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Automated model testing and validation within Continuous Integration and Continuous Delivery (CI/CD) pipelines for AI and machine learning (ML) applications play a pivotal role in ensuring their reliability, performance, and ethical compliance. This paper explores current methodologies and best practices in integrating automated testing frameworks tailored for AI models, encompassing techniques such as unit testing, integration testing, performance evaluation, and fairness assessment. We highlight the importance of these practices in mitigating risks associated with model deployment and improv

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Kumar, Amit, Tanishq Agarwal, and Ayushi Dwivedi. "Automating API Performance Testing with CI/CD Pipelines." Journal of Computer Science Engineering and Software Testing 10, no. 3 (2024): 43–52. http://dx.doi.org/10.46610/jocses.2024.v10i03.004.

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As software systems become more complex, APIs are critical in connecting services and applications. Ensuring that APIs perform well, especially under heavy traffic, is essential to maintaining a reliable user experience. This paper focuses on automating API performance testing within Continuous Integration and Continuous Deployment (CI/CD) pipelines. Automation helps run these tests regularly without slowing down the development process. The research examines teams' key challenges when setting up automated performance tests. These challenges include how to keep the testing fast and efficient,

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Hemanth, Kumar. "Continuous Integration and Deployment Best Practices for FinTech Applications." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 2 (2020): 1–10. https://doi.org/10.5281/zenodo.14762552.

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Continuous Integration (CI) and Continuous Deployment (CD) have emerged as indispensable practices in the software development lifecycle, particularly in FinTech, where speed and compliance are critical. This paper investigates best practices for CI/CD in FinTech applications, emphasizing secure coding, automated testing, compliance integration, and deployment strategies. Drawing on foundational research and advancements from before 2015, it explores the challenges and solutions for implementing robust CI/CD pipelines. Adopting these practices enables FinTech firms to innovate rapidly while ma

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Ratnangi, Nirek. "Challenges and Solutions for Implementing CI/CD Pipelines in Linux-Based Development Frameworks." Journal of Scientific and Engineering Research 6, no. 6 (2019): 229–32. https://doi.org/10.5281/zenodo.13918897.

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Continuous Integration (CI) and Continuous Deployment (CD) are critical methodologies in modern software development, enabling rapid and automated testing, integration, and deployment of code. Linux-based development environments, known for their flexibility, stability, and security, are popular in the software development community. However, the implementation of CI/CD pipelines in such environments brings about numerous challenges, including dependency management, security concerns, tool compatibility, and scalability.

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Praveen, Kumar Koppanati. "Building Custom CI/CD Pipelines for Java Applications in GitLab." Journal of Scientific and Engineering Research 6, no. 6 (2019): 233–38. https://doi.org/10.5281/zenodo.14005865.

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For modern software development, especially for Java applications Continuous Integration and Continuous Deployment (CI/CD) pipelines is a vital aspect. This paper aims to provide an in-depth exploration of building custom CI/CD pipelines in GitLab specifically for Java applications. In this guide, we are going to touch upon proper ways on how you should integrate GitLab CI/CD with Java development tools and strategies for pipeline optimization towards effective testing, as well as deployment; analyze Docker methodology where environment consistency is a concern. This will emphasize the key are

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Sarathe Krisshnan Jutoo Vijayaraghavan. "Autonomous CI/CD Pipelines: The Future of Software Development Automation." Global Journal of Engineering and Technology Advances 23, no. 1 (2025): 363–69. https://doi.org/10.30574/gjeta.2025.23.1.0126.

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Autonomous CI/CD pipelines represent a transformative advancement in software delivery, leveraging artificial intelligence and machine learning to create self-sufficient deployment infrastructures. These next-generation pipelines minimize manual intervention through intelligent components that analyze historical data, predict failures, optimize resource allocation, and automatically remediate issues. The integration of these capabilities delivers substantial improvements across key performance metrics, including deployment frequency, lead time for changes, and system reliability. Organizations

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Researcher. "ENHANCING DEVELOPER PRODUCTIVITY THROUGH AUTOMATED CI/CD PIPELINES: A COMPREHENSIVE ANALYSIS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 882–91. https://doi.org/10.5281/zenodo.13929524.

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This comprehensive article explores the transformative impact of Continuous Integration and Continuous Deployment (CI/CD) pipelines on modern software development practices. It delves into the core components of CI/CD pipelines, including automated testing, code analysis, and deployment strategies, examining how these elements contribute to enhanced developer productivity and software quality. Through an analysis of case studies from the tech, finance, and e-commerce sectors, the article demonstrates the tangible benefits of CI/CD implementation, such as significant reductions in lead times, i

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Azeezat Raheem, Adeola Mercy Osilaja, Ikeoluwa Kolawole, and Victor Eyo Essien. "Exploring continuous integration and deployment strategies for streamlined DevOps processes in software engineering practices." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 2813–30. https://doi.org/10.30574/wjarr.2024.24.3.3988.

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Continuous Integration (CI) and Continuous Deployment (CD) have become fundamental practices in modern software engineering, driving efficiency and reliability in DevOps processes. These strategies emphasize automation, collaboration, and iterative delivery to streamline the development lifecycle, ensuring that software updates are delivered rapidly and consistently. This paper explores advanced CI/CD strategies to optimize DevOps workflows, reduce deployment risks, and enhance the agility of software engineering teams. The study begins with an overview of CI/CD principles, highlighting their

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Azeezat, Raheem, Mercy Osilaja Adeola, Kolawole Ikeoluwa, and Eyo Essien Victor. "Exploring continuous integration and deployment strategies for streamlined DevOps processes in software engineering practices." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 2813–30. https://doi.org/10.5281/zenodo.15241805.

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Continuous Integration (CI) and Continuous Deployment (CD) have become fundamental practices in modern software engineering, driving efficiency and reliability in DevOps processes. These strategies emphasize automation, collaboration, and iterative delivery to streamline the development lifecycle, ensuring that software updates are delivered rapidly and consistently. This paper explores advanced CI/CD strategies to optimize DevOps workflows, reduce deployment risks, and enhance the agility of software engineering teams. The study begins with an overview of CI/CD principles, highlighting their

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Samuel Jesupelumi Owoade, Abel Uzoka, Joshua Idowu Akerele, and Pascal Ugochukwu Ojukwu. "Cloud-based compliance and data security solutions in financial applications using CI/CD pipelines." World Journal of Engineering and Technology Research 3, no. 2 (2024): 011–21. http://dx.doi.org/10.53346/wjetr.2024.3.2.0059.

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In the fast-evolving landscape of financial services, data security and regulatory compliance are critical challenges that cloud-based solutions can address effectively. This paper explores the implementation of cloud-based compliance and data security solutions in financial applications, with a specific focus on using Continuous Integration and Continuous Deployment (CI/CD) pipelines. By integrating CI/CD pipelines, financial institutions can streamline deployment processes, ensuring rapid delivery while maintaining compliance with regulatory frameworks such as GDPR, PCI-DSS, and SOC 2. The C

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Chava, Ajay. "CI/CD and Automation in DevOps Engineering." Asian Journal of Research in Computer Science 17, no. 11 (2024): 73–80. http://dx.doi.org/10.9734/ajrcos/2024/v17i11520.

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The article examines the principles and best practices of implementing Continuous Integration and Continuous Deployment (CI/CD) within DevOps engineering. It explores how CI/CD pipelines, automated testing, version control, and deployment processes can accelerate software development and improve product quality. The manuscript analyzes key tools such as Jenkins, GitLab, and Travis CI, and discusses critical security measures for safeguarding code and infrastructure. By integrating CI/CD into DevOps workflows, teams can enhance efficiency, reduce time to market, and minimize errors, all while e

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Shiva Krishna Kodithyala. "Smart Test Selection in CI/CD: Optimizing Pipeline Efficiency." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 289–97. https://doi.org/10.32996/jcsts.2025.7.4.33.

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Smart test selection has emerged as a critical optimization strategy in continuous integration and continuous deployment (CI/CD) pipelines, transforming how organizations approach software testing and quality assurance. The integration of artificial intelligence and machine learning techniques has revolutionized test selection processes, enabling more precise identification of relevant test cases while significantly reducing execution times. Through advanced pattern recognition and behavioral analysis, modern test selection systems demonstrate remarkable capabilities in maintaining comprehensi

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SWAMY, PRASADARAO VELAGA. "IMPLEMENTING CI/CD PIPELINES FOR MACHINE LEARNING MODELS: BEST PRACTICES AND CHALLENGES." International Journal of Innovative Research and Creative Technology 2, no. 5 (2016): 1–10. https://doi.org/10.5281/zenodo.12805415.

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Continuous Integration (CI) and Continuous Deployment/Delivery (CD) practices have become indispensable in modern machine learning (ML) pipelines, aiming to streamline the development, testing, and deployment of ML models. This review paper explores best practices, challenges, and solutions in implementing CI/CD pipelines specifically tailored for ML. Key areas addressed include modular pipeline design for flexibility and reusability, automated data validation to ensure data quality, strategies for reproducibility in experiments, scalability considerations for handling large datasets and compl

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