Automating the creation and handling of software defects

在软件开发中，类似的缺陷——与正在构建的软件的行为有关的问题——往往会多次出现。有时，它是先前为一个软件解决的缺陷，在类似的新软件中再次出现。其他时候，它是一个类似的缺陷，出现在一个以前在同一软件中解决了。软件开发项目在缺陷存储库中存储所有缺陷的记录。可以对这些存储库进行挖掘，以了解解决缺陷所需的信息，并建议与当前处理的缺陷相似的缺陷在过去是如何解决的。被提议的研究将通过自动识别和从现有缺陷中抽象概念，并通过使用这些概念来增强新的缺陷报告，并在需要优先解决的缺陷中聚集和发现趋势，来扩展已经从缺陷存储库中学习到信息的现有工作。

In software development, similar defects---problems with how the software being built behaves---tend to occur multiple times. Sometimes, it is a defect previously solved for one piece of software that re-occurs in a similar, but new, piece of software. Other times, it is a similar defect that occurs to one previously solved in the same piece of software. Software development projects store records of all defects in defect repositories. These repositories can be mined to learn what information is necessary to solve a defect and to recommend how defects that are similar to the one currently being handled have been solved in the past. The proposed research will extend existing efforts that have learned information from bug repositories by automatically identifying and abstracting concepts from existing defects and by using those concepts to enhance new defect reports and to cluster and find trends in defects that are being prioritized to be solved.