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Journal articles on the topic 'Continuous Integration testing'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Kovács, Attila, Gábor Árpád Németh, and Péter Sótér. "Integrating performance testing into continuous integration loops." Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica, no. 54 (2023): 211–32. https://doi.org/10.71352/ac.54.211.

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Performance testing is a practice, a technique, a process used for testing the speed, stability, scalability and responsiveness of applications. In contrast to the usual approaches — that apply performance testing after functional testing and concentrate only on system-level tests — the authors discuss from a new perspective why and how performance testing can be integrated with other testing challenges (like functionality, security and usability), why and how it can be applied at all test levels in the life-cycle. The aim of the authors is twofold: (1) to revisit the evolution of performance

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Bhanushali, Amit. "Challenges and Solutions in Implementing Continuous Integration and Continuous Testing for Agile Quality Assurance." International Journal of Science and Research (IJSR) 12, no. 10 (2023): 1626–44. http://dx.doi.org/10.21275/sr231021114758.

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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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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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Swetha, Sistla. "The Evolution of Continuous Integration – Continuous Delivery." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 4 (2021): 1–7. https://doi.org/10.5281/zenodo.14261017.

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CI/CD has been instrumental in changing the way developers used to work with software; this evolution allowed the delivery of code changes faster and in a more reliable way. In this whitepaper, take a look at how Continuous Integration and Continuous Delivery work within a historical context, their present state, and trends for the future, as well as how the integration of both disciplines has shaped modern DevOps environments. What began as a series of separate practices for integrating the code and deploying it, respectively, grew into one discipline whereby all those aspects got automated t

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Hlybovets, Andrii, Artem Karpovych, and Mykola Kovsh. "Distributed Load Testing System in Continuous Integration." NaUKMA Research Papers. Computer Science 3 (December 28, 2020): 42–49. http://dx.doi.org/10.18523/2617-3808.2020.3.42-49.

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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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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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Jaeni, Jaeni, Nicko Aji S., and Arif Dwi Laksito. "IMPLEMENTASI CONTINUOUS INTEGRATION/CONTINUOUS DELIVERY (CI/CD) PADA PERFORMANCE TESTING DEVOPS." Journal of Information System Management (JOISM) 4, no. 1 (2022): 62–66. http://dx.doi.org/10.24076/joism.2022v4i1.887.

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Secara umum proses pengembangan aplikasi terdiri dari proses perancangan, pengujian, dan deployment. Pengembangan dengan cara tradisional seringkali menimbulkan masalah seperti keterlambatan aplikasi dan kualitas produknya. Hal ini dapat terjadi karena tim operasional harus menunggu developer agar menyelesaikan proses uji coba terlebih dahulu sebelum aplikasi tersebut dapat dirilis dan diguankan. Selain itu, setelah proses pengujian selesai, sering didapati adanya konflik akibat environment yang berbeda, yang memperlambat proses rilis. Keterlambatan ini membuat klien kecewa dan memberikan efek

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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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Pradeepkumar Palanisamy. "Cross-team component mocking frameworks for integration testing." World Journal of Advanced Engineering Technology and Sciences 7, no. 1 (2022): 245–56. https://doi.org/10.30574/wjaets.2022.7.1.0096.

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In the complex and interconnected landscape of modern distributed systems, efficient and reliable integration testing presents a formidable challenge, particularly when external or downstream services are unstable, under development, or costly to access. This comprehensive content explores the critical role and profound benefits of Cross-Team Component Mocking Frameworks. These sophisticated, shared tooling solutions are meticulously designed to simulate the precise responses of downstream services, external APIs, or complex third-party components. By establishing a controlled and consistent m

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Currie, Robert, Rosen Mataev, and Marco Clemencic. "Evolution of the LHCb Continuous Integration system." EPJ Web of Conferences 245 (2020): 05039. http://dx.doi.org/10.1051/epjconf/202024505039.

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The physics software stack of LHCb is based on Gaudi and is comprised of about 20 interdependent projects, managed across multiple GitLab repositories. At present, the continuous integration (CI) system used for regular building and testing of this software is implemented using Jenkins and runs on a cluster of about 300 cores. LHCb CI pipelines are python-based and relatively modern with some degree of modularity, i.e. the separation of test jobs from build jobs. However, these still suffer from obsoleted design choices that prevent improvements to scalability and reporting. In particular, the

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Chakradhar, Avinash Devarapalli. "Continuous Integration and Deployment (CI/CD) Common Issues: Focusing on Testing for Streamlined Development." Journal of Scientific and Engineering Research 8, no. 10 (2021): 162–67. https://doi.org/10.5281/zenodo.13253719.

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Continuous integration and deployment (CI/CD) is a major part of today's development procedures. The idea is to keep the process as smooth and simple as possible, both during the development and with the testing and launch of the backend applications. As the world focuses on better designs and improved experiences for users, one thing that stays constant is the need to get software out there quickly and reliably. That's where CI/CD for frontend development steps in. This paper looks closely at the concept of CI/CD and aims to understand why CI/CD matters for frontend development. It also consi

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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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Gryzun, Liudmyla, Yuriy Skorin, and Iryna Detochenko. "Choosing a continuous integration tool for software automated testing." Bulletin of Kharkov National Automobile and Highway University, no. 96 (May 24, 2022): 30. http://dx.doi.org/10.30977/bul.2219-5548.2022.96.0.30.

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Problem. Automated testing is directlyrelated to continuous integration (CI), which is the performance of frequent automated grouping of project components to identify and resolve integration issues. Choosing the adequate CI tool for automated testing is the key to effective CI process. Analysis of theory and practice shows that the choice of such an instrument to support testing remains a challenge. According to the sources, finding and combining compatible tools to create a functional pipeline is also a difficult task. The problem that arises due to the combination of tools is their configur

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Mossige, Morten, Arnaud Gotlieb, and Hein Meling. "Testing robot controllers using constraint programming and continuous integration." Information and Software Technology 57 (January 2015): 169–85. http://dx.doi.org/10.1016/j.infsof.2014.09.009.

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Nibbagandla, Harish-Kumar, Rico Kleist, Eike Heimbach, and Johannes Weickert. "Continuous Integration and Testing of Software for Electric Powertrains." ATZ worldwide 127, no. 5 (2025): 22–27. https://doi.org/10.1007/s38311-025-2046-4.

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Xiao, Lei, Huaikou Miao, and Ying Zhong. "Test case prioritization and selection technique in continuous integration development environments: a case study." International Journal of Engineering & Technology 7, no. 2.28 (2018): 332. http://dx.doi.org/10.14419/ijet.v7i2.28.13207.

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Regression testing is a very important activity in continuous integration development environments. Software engineers frequently integrate new or changed code that involves in a new regression testing. Furthermore, regression testing in continuous integration development environments is together with tight time constraints. It is also impossible to re-run all the test cases in regression testing. Test case prioritization and selection technique are often used to render continuous integration processes more cost-effective. According to multi objective optimization, we present a test case prior

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Prasad Pasam, Thulasiram. "Optimizing Code Efficiency within Continuous Integration and Continuous Delivery Systems." International Journal of Engineering and Science Invention 10, no. 2 (2021): 57–62. https://doi.org/10.35629/6734-10025762.

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This study focuses on methods to improve the speed of Continuous Integration and Continuous Delivery (CI/CD) systems. Using a secondary qualitative approach, the study looks at code refactoring, modular programming, task parallelism, and caching. The themes discover the reasons these approaches benefit build efficiency, testing performance, and dependable deployment. It describes actual examples and finds a lack of standardised structures in practice. Drawn from interpretivist philosophy, this research gives a clearer view of code-related boosts in CI/CD and forms the base for future intellige

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Muhammad, Owais Khan, Khan Jumani Awais, Farhan, Ahmed Siddique Waqas, and Ali Shaikh Asad. "Fast Delivery, Continuously Build, Testing and Deployment with DevOps Pipeline Techniques on Cloud." Indian Journal of Science and Technology 13, no. 5 (2020): 552–75. https://doi.org/10.17485/ijst/2020/v13i05/148983.

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Abstract <strong>Objectives:</strong> To implement the DevOps pipeline on cloud for an organization. That is designed and implemented according to the project requirements. <strong>Methods/findings:</strong> The results of the study are to automate everything using DevOps pipeline on cloud native with executed Continuous Integration (CI), Continuous Delivery (CD), and Monitoring required for the case project. The best practices of DevOps are for automated test execution, automated deployment on different environments, and monitoring of the application. It also maintains the applicati

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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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Srikanth Perla. "AI-driven Test Automation for Salesforce and System Integration." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1120–29. https://doi.org/10.32628/cseit251112116.

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Integrating artificial intelligence into test automation frameworks has transformed quality assurance practices in Salesforce environments and system integrations. AI-driven solutions have revolutionized testing approaches through smart test selection, risk-based analysis, and dynamic element identification capabilities. These advancements enable organizations to detect defects earlier, reduce false positives, and significantly decrease test maintenance efforts. Self-healing locators and context-aware selection mechanisms have enhanced test stability across dynamic web applications, while patt

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Akshada, Sunil Shitole, and Priyadarshini I. "Understanding Software Development with DevOps." Journal of Advancement in Software Engineering and Testing 4, no. 2 (2021): 1–3. https://doi.org/10.5281/zenodo.5118765.

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Devops is a software development strategy consists of development & operations. Devops is a practice of ensuring smooth flow of software implementation along with handling changes & maintaining high quality software product. If we observe the logo of Devops we recognize it is an infinity symbol. Infinity means never ending process it relates to never ending process of application or software development we cannot make a perfect software in a single run continuously we have to work upon its infinity times. Devops has gain its own popularity in various companies for efficient, effective

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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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Beniukh, Lada, Andrii Hlybovets, and Andrii Afonin. "Behaviour Driven Testing as an Effective Approach for Automated Testing in Continuous Integration." NaUKMA Research Papers. Computer Science 3 (December 28, 2020): 62–68. http://dx.doi.org/10.18523/2617-3808.2020.3.62-68.

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Rishitha, Kokku. "Revolutionizing DevOps Security: AI and ML-Enabled Automated Testing Approaches." International Journal of Current Science Research and Review 07, no. 10 (2024): 7947–51. https://doi.org/10.5281/zenodo.13972658.

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Abstract : In modern DevOps environments, the integration of security practices poses significant challenges due to the fast-paced nature of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Traditional security testing methods are usually too slow and reactive to address vulnerabilities effectively in such dynamic settings. To overcome these challenges, organizations are increasingly adopting automated security testing solutions that leverage Artificial Intelligence (AI) and Machine Learning (ML). This paper discusses AI and ML capabilities in automating security testing during

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Rishitha, Kokku. "Revolutionizing DevOps Security: AI and ML-Enabled Automated Testing Approaches." International Journal of Current Science Research and Review 07, no. 11 (2024): 8140–44. https://doi.org/10.5281/zenodo.14027398.

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Abstract : In modern DevOps environments, the integration of security practices poses significant challenges due to the fast-paced nature of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Traditional security testing methods are usually too slow and reactive to address vulnerabilities effectively in such dynamic settings. To overcome these challenges, organizations are increasingly adopting automated security testing solutions that leverage Artificial Intelligence (AI) and Machine Learning (ML). This paper discusses AI and ML capabilities in automating security testing during

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Yang, Yang, Chaoyue Pan, Zheng Li, and Ruilian Zhao. "Adaptive Reward Computation in Reinforcement Learning-Based Continuous Integration Testing." IEEE Access 9 (2021): 36674–88. http://dx.doi.org/10.1109/access.2021.3063232.

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Zaripova, Rimma, Maxim Kuznetsov, Valery Kosulin, Marat Perukhin, and Marat Nuriev. "Principles of autonomous testing of high-performance .NET application." E3S Web of Conferences 531 (2024): 03014. http://dx.doi.org/10.1051/e3sconf/202453103014.

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In the landscape of software development for high-performance .NET applications, autonomous testing emerges as a critical strategy to ensure reliability, scalability, and performance. This article delves into the practice of autonomous, or unattended, testing—where automated test cases are executed independently without human intervention. Our exploration is grounded in the application of autonomous testing in environments handling large data volumes and supporting high concurrency, which are typical scenarios for mission-critical .NET applications. We discuss the benefits of autonomous testin

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Budichenko, Vladyslav. "Continuous Testing for State-Based Multistep Voice AI Agents." Universal Library of Engineering Technology 02, no. 01 (2025): 25–30. https://doi.org/10.70315/uloap.ulete.2025.0201005.

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This paper presents a strategy for continuous testing of multi-step AI agents based on finite-state machines (FSM) and integrated with large language models (LLMs). The primary focus is on validating the correctness of transitions (both deterministic and LLM-driven) and evaluating the quality of responses, including testing formats such as voice-to-voice, voice-to-text, and text-to-text. It is demonstrated that the state-based approach, where each FSM node is treated as an independent “module” for testing, allows for error localization and effective application of quality metrics (e.g., G-Eval

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T M, Suhas, and Sowmya Nag K. "Continuous Integration and Continuous Deployment with Jenkins in C++ Software Development." Journal of University of Shanghai for Science and Technology 23, no. 07 (2021): 805–10. http://dx.doi.org/10.51201/jusst/21/05307.

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Continuous Integration is a practice in the software program development process where software program builders combine code into a shared repository frequently, more than one instance throughout the day. Jenkins is a continuous integration tool that assists developers and testers by using automating the entire test, on the way to reduce their work with the aid of tracking the development at each and every stage in software development, each integration push is then tested by means of automated build and test cases, and an easy way to make CI quicker and accelerate CI procedure is to automate

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Narendar, Kumar Ale. "Test Automation Optimization: Best Practices and Advanced Techniques." European Journal of Advances in Engineering and Technology 9, no. 7 (2022): 66–71. https://doi.org/10.5281/zenodo.13220414.

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In the evolving landscape of software development, test automation plays a pivotal role in ensuring software quality and reliability. This paper delves into the best practices and advanced techniques for optimizing test automation. By examining the methodologies, tools, and strategies that enhance the efficiency and effectiveness of automated testing, this paper aims to provide a comprehensive guide for software engineers and quality assurance professionals.

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Srikanth Kunchaparthy. "Evolution and Implementation of Continuous Testing in Enterprise Software Engineering." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1158–66. https://doi.org/10.32628/cseit251112109.

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Continuous testing has emerged as a critical component in modern enterprise software development, yet organizations face significant challenges in implementing and scaling these practices effectively. This article presents a comprehensive framework for integrating continuous testing within enterprise-scale software development pipelines, addressing the unique challenges of complex, distributed systems. Through this article of real-world implementations and industry best practices, this article outlines a structured approach that encompasses tool selection, infrastructure requirements, and impl

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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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Shashidhar Solige. "Automated testing in modern software development: navigating challenges and opportunities." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 955–61. https://doi.org/10.30574/wjarr.2025.26.1.1128.

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Automated testing has become a cornerstone of modern software development, revolutionizing how organizations approach quality assurance and continuous delivery. This evolution reflects the growing complexity of software systems and the increasing adoption of agile methodologies and DevOps practices. Automated testing integration with continuous integration and deployment pipelines has transformed traditional testing approaches, enabling faster feedback loops and more reliable software delivery. While automated testing offers significant efficiency, coverage, and reliability benefits, it also p

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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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Preyaa, Atri. "Enhancing the reliability and accuracy of data pipelines through effective testing and validation strategies: A comprehensive approach." European Journal of Advances in Engineering and Technology 10, no. 9 (2023): 52–56. https://doi.org/10.5281/zenodo.11213814.

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Today, modern data-driven applications are implemented as large-scale systems that use sophisticated data pipelines for ingestion, processing, and transformation of data. The main aspect of data integrity and reliable analytics is the control over how reliable and accurate these pipelines are. This paper describes several approaches to testing aimed at ensuring the high quality of data pipelines. We study a range of testing methodologies such as unit testing, integration testing, and end-to-end testing, each being applied in their specific context when developing a data pipeline. Additionally,

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Prathyusha, Kosuru. "Continuous Integration and Continuous Deployment (CI/CD) in Full-Stack Development." European Journal of Advances in Engineering and Technology 8, no. 10 (2021): 104–8. https://doi.org/10.5281/zenodo.13919327.

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CI/CD is one of the fundamental processes in the modern full-stack development that enables teams to build and release robust applications much faster, with minimal errors. CI/CD pipelines involve the automation of build, test, and deploy processes; it minimizes human intervention in the deployment process, leading to the improvement of efficiency. This paper aims at covering topics such as understanding CI/CD, the tools that can be used to implement it, common use cases/considerations and ways that demonstrate its usage (El Khalyly et al., 2020).  

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Brituškins, Aleksandrs, and Aleksejs Zorins. "CONTINUOUS INTEGRATION AND DELIVERY OF WEB APPLICATIONS." HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, no. 23 (April 24, 2019): 9. http://dx.doi.org/10.17770/het2019.23.4395.

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With the advent of DevOps practice, rapidly began evolve systems development life cycle shorting methods, such as continuous integration, testing and delivery, release automation and infrastructure as code methods. This methods, is similar to programming scripts which are used to automate a series of static steps to complete defined scenario. Often, the choice of used automation methods and tools depends on project and application complexity, which makes each case unique in its own way. The main goals of the paper are description of basic continuous integration and delivery methods for web bas

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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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Maheswara, Reddy Basireddy. "Cloud Computing: Strategies for Data Storage, Containerization, CI/CD, and Testing in Cloud Environments." European Journal of Advances in Engineering and Technology 8, no. 3 (2021): 48–58. https://doi.org/10.5281/zenodo.11408101.

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Because cloud computing offers cost-effectiveness, scalability, and on-demand access to computer resources, it has completely changed how businesses handle these resources. The data storage services provided by the main cloud platforms, containerization technologies for application deployment, continuous integration and deployment (CI/CD) procedures, and testing and maintenance techniques in cloud environments are just a few of the aspects of cloud computing strategies that are examined in this research paper. The first section of the article evaluates and discusses the capabilities, use cases

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Prabhu, Shridhar, Manoj Naik, Firdosh A D, Sohan S A, and Neeta B. Malvi. "Automation in Testing with Jenkins for Software Development." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 746–55. http://dx.doi.org/10.51201/jusst/21/05340.

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Continuous Integration (CI) is a practice in the software program development process where software program builders combine code into a shared repository frequently, more than one instance throughout the day. Jenkins is a continuous integration tool which assists developer and testers by using automating the entire test, on the way to reduce their work with the aid of tracking the development at each and every stage in software development, each integration push is then tested by means of automated test cases, and an easy way to make CI quicker and accelerate. CI procedure is to automate the

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Soujanya, Reddy Annapareddy. "Improving Firmware Reliability through Robust Version Control and Continuous Integration." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 9, no. 3 (2023): 1–6. https://doi.org/10.5281/zenodo.14631912.

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Firmware reliability is a critical factor in the functionality and longevity of modern embedded systems. This paper explores strategies to enhance firmware reliability by leveraging robust version control systems (VCS) and continuous integration (CI) practices. Version control enables effective collaboration, change tracking, and rollback mechanisms, while CI ensures automated testing and validation at every stage of development. Together, these methodologies minimize errors, reduce regressions, and accelerate the delivery of stable firmware updates. We discuss best practices for implementing

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Marijan, Dusica, Arnaud Gotlieb, and Marius Liaaen. "A learning algorithm for optimizing continuous integration development and testing practice." Software: Practice and Experience 49, no. 2 (2018): 192–213. http://dx.doi.org/10.1002/spe.2661.

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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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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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Tripathi, Dr Diwakar Ramanuj. "Evaluation of the Feasibility of Parametric Estimation in Devops Continuous Planning." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 542–46. http://dx.doi.org/10.22214/ijraset.2021.38008.

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Abstract: DevOps aims to shorten project schedules, boost productivity, and manage quick development-deployment cycles without compromising business or quality. It necessitates good sprint management. Continuous Testing detects integration issues considerably earlier in the development process. It reduces the cost of defect resolution and frees up the tester's time for exploratory testing and value-added activities. Continuous testing allows for more frequent, shorter, and more efficient releases. It ties people, technology, and processes together. Continuous Planning, particularly effort esti

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Santhosh Kumar Shankarappa Gotur. "Continuous Performance Validation: A Framework for Automated Testing Integration in Enterprise DevOps Pipelines." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 2253–63. https://doi.org/10.32628/cseit2410612422.

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This article presents a comprehensive framework for integrating automated performance testing within modern DevOps pipelines, addressing the growing complexity of continuous software delivery while maintaining performance standards. The article introduces a systematic approach combining shift-left testing methodologies with microservice-level performance validation, enabling early detection and resolution of performance issues throughout the development lifecycle. Through an article analysis of contemporary testing tools and methodologies, the article proposes a multi-layered testing strategy

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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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Shanmukhi, Bhaskara Sahithi. "Implementing and Using CI/CD: Addressing Key Challenges Faced by Software Developers." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–3. http://dx.doi.org/10.55041/ijsrem37128.

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Software development teams that want to increase the calibre, dependability, and velocity of their software releases must implement continuous integration and delivery (CI/CD) techniques. Developers must now overcome several obstacles as a result of this shift, including the necessity to automate testing and deployment procedures, uphold strict version control, and promote cooperation between the development, testing, and operations teams. This article looks at the main obstacles that developers face when implementing and using CI/CD, and it does so by analysing case studies and current indust

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