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Informing development decisions: From data to information

机译:通知开发决策:从数据到信息

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Software engineers generate vast quantities of development artifacts such as source code, bug reports, test cases, usage logs, etc., as they create and maintain their projects. The information contained in these artifacts could provide valuable insights into the software quality and adoption, as well as development process. However, very little of it is available in the way that is immediately useful to various stakeholders. This research aims to extract and analyze data from software repositories to provide software practitioners with up-to-date and insightful information that can support informed decisions related to the business, management, design, or development of software systems. This data-centric decision-making is known as analytics. In particular, we demonstrate that by employing software development analytics, we can help developers make informed decisions around user adoption of a software project, code review process, as well as improve developers' awareness of their working context.
机译:在创建和维护项目时,软件工程师会生成大量开发工件,例如源代码,错误报告,测试用例,使用日志等。这些工件中包含的信息可以提供有关软件质量和采用以及开发过程的宝贵见解。但是,很少有可以立即用于各种利益相关者的方式提供的。这项研究旨在从软件存储库中提取和分析数据,以向软件从业人员提供最新且有见地的信息,这些信息可以支持与软件系统的业务,管理,设计或开发有关的明智决策。这种以数据为中心的决策称为分析。特别是,我们证明了通过使用软件开发分析,我们可以帮助开发人员围绕用户对软件项目的采用,代码审查过程做出明智的决定,并提高开发人员对其工作环境的认识。

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