Improving Software Maintenance Using Process Mining and Predictive Analytics
2017 IEEE International Conference on Software Maintenance and Evolution (ICSME)(2017)
摘要
This research focuses on analyzing and improving maintenance process by exploring novel applications of process mining and predictive analytics. We analyze the software maintenance process by applying process mining on software repositories, and address the identified inefficiencies using predictive analytics. To drive our research, we engage with practitioners from large, global IT companies and emphasize on the practical usability of the proposed solution approaches, which are evaluated by conducting a series of case studies on open source and commercial projects.
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关键词
Process Mining,Qualitative Study,Machine Learning,IT Support Process,Bug Detection
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