Enhancing Software Engineering Recommender Systems with Software Analytics

通过软件分析增强软件工程推荐系统

• 批准号: RGPIN-2017-04077
• 负责人: Capretz, Luiz
• 金额: $ 1.46万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634512
• 关键词: Enhancing; Software; Engineering; Recommender; Systems

The creation of software and its usage generate a fair amount of data about the software itself during its development, deployment, and operation. However, raw data require appropriate analysis in order to provide software practitioners and managers with feedback, insights, and analytical services about the software during its production as well as throughout its operation and maintenance.

在软件的开发、部署和运行过程中，软件的创建和使用会产生大量关于软件本身的数据。然而，原始数据需要适当的分析，以便在软件生产期间以及整个操作和维护过程中为软件从业者和经理提供有关软件的反馈、洞察和分析服务。