Developing Prediction Models to Assist Software Developers and Support Managers
作者： Meera Sharma , Abhishek Tondon
DOI: 10.1007/978-3-319-62404-4_41
关键词:
摘要: A huge amount of historical information about the evolution a software project is available in repositories, namely bug source control archived communications, deployment logs, and code repositories. By mining evolutionary history software, we have designed prediction models to assist developers by predicting attributes like priority, severity, assignee fix time. We evaluated uncertainty terms entropy arises due changes done files different issues. To support managers, predict potential values issues, bugs, improvements existing features (IMPs) new (NFs) over long run. In this research work, developed mathematical managers triaging, fixing maintenance related tasks. Our work has been validated on issue change data several open projects, Eclipse, Open office, Mozilla Apache.
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