DevOps, an extension of agile methods, integrates numerous principles to improve communication between development and operations teams. The fundamental goal of this research is to look at the effects of DevOps adoption on software quality, as well as to explore effective ways for improving quality effectively. An thorough literature investigation was conducted to investigate existing DevOps methods in the sector, resulting in the construction of a conceptual research model with five derived hypotheses. The study objectives were met by evaluating hypotheses with Pearson correlation and developing a linear model based on linear regression analysis. To collect quantifiable data, an online questionnaire was used, followed by interviews with DevOps and Quality Assurance professionals to determine how DevOps may improve software quality. Feedback from interviews, coupled with The hypotheses were tested using regression analysis, and suggestions were based on them. The quantitative study's findings show that adopting DevOps leads to considerable improvements in software quality, particularly when using the CAMS (Culture, Automation, Measurement, Sharing) architecture. Among the considerations, automation emerged as the most important component for improving software quality. The findings of multiple regression analysis highlight the relevance of culture, automation, measurement, and sharing in the goal of higher software quality. In conclusion, this study strongly argues for the use of DevOps to produce high-quality software. Organizations may significantly improve the overall quality of their software products by implementing the CAMS Framework and adhering to concepts such as automation.
No takes yet. Share an insight, caveat, or question.
Shubham Patil (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: