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How Do Coupled File Changes Influence How Developers Seek Help During Maintenance Tasks?

机译:耦合文件如何改变开发人员在维护任务期间寻求帮助的影响?

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Software repositories contain a lot of information that can be transformed into suggestions other files they need to modify during maintenance tasks (so-called "coupled changes"). Existing studies however ignore developer feedback and their influence on the developer strategy for getting help during maintenance tasks. We used the Grounded Theory approach to investigate screen capture videos from an experiment to find which information sources developers use to find help and what is their relevance. We compared the frequency as well as the sequence patterns of used information sources both for the developers using coupled change suggestions and those not using them. We found a set of information sources where the developers seek for help and identified two categories of relevance. Also, we discovered that for the tasks using coupled change suggestions, the developers used mostly the internal IDE elements as an information source whereby the developers not using coupled change suggestions often used external sources like the documentation or the web. Coupled change suggestions influence the strategy how the developers seek for help by reducing the search for information on external locations which makes the process of solving maintenance tasks more compact.
机译:软件存储库包含大量信息,可以将其在维护任务中修改的其他文件(所谓的“耦合更改”)中的其他文件转换为建议。然而,现有的研究无视开发人员反馈及其对维护任务期间获得帮助的开发人员策略的影响。我们利用基础理论方法来调查屏幕捕获视频从实验中查找开发人员使用哪些信息来寻找帮助以及他们的相关性。我们将频率与使用耦合的变化建议和不使用它们的开发人员进行比较频率以及用于开发人员的序列模式。我们发现了一系列信息来源,开发人员寻求帮助,并确定两类相关性。此外,我们发现,对于使用耦合改变建议的任务,开发人员主要使用内部IDE元素作为信息源,其中开发人员不使用耦合的更改建议通常使用像文档或Web等外部源。耦合变更建议会影响开发商通过减少关于外部位置的信息来寻求帮助的策略,这使得解决维护任务更紧凑的过程。

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