Mining the software change repository of a legacy telephony system
作者： Jelber Sayyad Shirabad , Timothy C Lethbridge , Stan Matwin
DOI: 10.1049/IC:20040476
关键词:
摘要: Ability to predict whether a change in one file may require another can be extremely helpful software maintainer. Software repositories store historic changes applied system. They therefore inherently contain wealth of information regarding (hidden) interactions between different components the system, including files that have changed together past. Data mining techniques employed learn from this experience. We will report on our research into repository legacy system relation maps pairs value indicating changing other.
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