Enhancing software quality of CI/CD pipeline through continuous testing: a DevOps-driven maintainable hybrid automation testing framework

The rapid adoption of DevOps methodologies has revolutionized software development by enabling Continuous Integration and Continuous Deployment (CI/CD). However, ensuring efficient, scalable, and maintainable automated testing remains a significant challenge in DevOps-driven environments. This study...

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Veröffentlicht in:International journal of information technology (Singapore. Online) Jg. 17; H. 7; S. 4119 - 4133
Hauptverfasser: Patel, Akshit Raj, Tyagi, Sulabh
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Singapore Springer Nature Singapore 01.09.2025
Springer Nature B.V
Schlagworte:
Algorithms
Artificial Intelligence
Automation
Case studies
Collaboration
Computer Imaging
Computer Science
Design
Efficiency
Feedback
Image Processing and Computer Vision
Literature reviews
Machine Learning
Maintainability
Original Research
Pattern Recognition and Graphics
Quality assessment
Software development
Software Engineering
Software industry
Software quality
Software reliability
Software upgrading
Vision
DevOps
Automated testing framework
Jenkins CI/CD pipeline
Continuous testing
ISSN:2511-2104, 2511-2112
Online-Zugang:Volltext
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Zusammenfassung:The rapid adoption of DevOps methodologies has revolutionized software development by enabling Continuous Integration and Continuous Deployment (CI/CD). However, ensuring efficient, scalable, and maintainable automated testing remains a significant challenge in DevOps-driven environments. This study introduces the Maintainable Hybrid Test Automation Framework (MHTAF), designed to enhance test efficiency, reliability, and code quality. MHTAF leverages the Page Object Model (POM) to promote test script reusability and integrates key DevOps tools, including Selenium for test automation, Jenkins for CI/CD management, SonarQube for continuous code quality assessment, and Docker for containerized deployment. To evaluate the framework, we implemented MHTAF on two large-scale e-commerce platforms, Amazon and Flipkart. Experimental results demonstrate significantly reduced code duplication, improved test execution efficiency, and enhanced maintainability within CI/CD pipelines. Our findings highlight MHTAF’s effectiveness in streamlining test automation while ensuring high software quality in dynamic DevOps environments.
Bibliographie:ObjectType-Article-1
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ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-025-02578-x