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Improve software quality through practicing DevOps

机译:通过实践DevOps提高软件质量

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DevOps is extended from certain agile practices with a mix of patterns intended to improve collaboration between development and operation teams. The main purpose of this paper is to conduct a study on how DevOps practice has impacted to software quality. The secondary objective is to find how to improve quality efficiently. A literature survey has carried out to explore about current DevOps practices in industry. According to the literature survey, the conceptual research model was developed and five hypotheses were derived. Research objectives were accomplished by testing hypotheses using Pearson correlation. A linear model is derived based on the linear regression analysis. An online questionnaire was used to collect quantitative data whereas interviews with experts on DevOps and Quality assurance have been used to identify how to improve the quality of software by practicing DevOps. Recommendations are given based on interview feedback, hypotheses testing with regression analysis. According to the quantitative study, researchers have identified that quality of the software gets improved when practice DevOps by following CAMS (Culture, Automation, Measurement, Sharing) framework. Automation is the most critical factor to improve the software quality. As per the results of multiple regression analysis, it has proved culture, automation, measurement and sharing are important factors to consider to improve quality of the software. In conclusion it can be recommended to use DevOps to achieve high quality software.
机译:DevOps从某些敏捷实践扩展而来,其混合模式旨在改善开发团队和运营团队之间的协作。本文的主要目的是对DevOps实践如何影响软件质量进行研究。第二个目标是找到如何有效地提高质量。进行了一项文献调查,以探索当前行业中的DevOps实践。根据文献调查,建立了概念研究模型,并得出了五个假设。研究目标是通过使用Pearson相关性检验假设来实现的。基于线性回归分析得出线性模型。在线调查表用于收集定量数据,而DevOps和质量保证专家的访谈已用于确定如何通过实践DevOps来提高软件质量。根据面试反馈,带有回归分析的假设检验给出建议。根据定量研究,研究人员发现,遵循CAMS(文化,自动化,测量,共享)框架来实践DevOps时,软件质量会得到提高。自动化是提高软件质量的最关键因素。根据多元回归分析的结果,事实证明,文化,自动化,度量和共享是提高软件质量所要考虑的重要因素。总之,可以建议使用DevOps来获得高质量的软件。

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