SHF: Small: Analytical Support for Investigating Software Modifications in Collaborative Development Environment

SHF：小型：为研究协作开发环境中的软件修改提供分析支持

• 批准号: 1533791
• 负责人: Miryung Kim
• 金额: $ 21.21万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1533791&HistoricalAwards=false
• 关键词: SHF; Small; Analytical; Support; Investigating

Collaboration is essential to software development. As software engineers develop and evolve software, they need to analyze past and present software modifications implemented by other developers in various tasks such as peer code reviews, bug investigations, and change impact analysis. Developers are often overwhelmed with a large amount of awareness information about software modifications. Auto-generated emails about check-ins, builds, and regression tests often flood developers' mail boxes, yet it is very difficult for developers to identify significant and relevant change-events. Existing software engineering tools do not easily allow developers to search software modifications relevant to their tasks, focus, and interests.This research project will produce analytical support for investigating software modifications in collaborative development environment called CHIME. First, CHIME will provide an extensible, logical change analysis framework that identifies software modifications relevant to one's own code modification according to various kinds of delta relationships. The users of the framework can import, select, and extend various notions of interference, dependence, similarity, and co-occurrence relationships among individual software modifications. Second, CHIME will provide a search interface to empower users to ask and answer questions about the content, structure, and context of code changes across multiple revisions. In order to reduce programmers' burden on formulating search queries, we will conduct empirical studies with professional developers to identify frequently asked questions about past and present software modifications. The resulting list of the questions will be provided as template queries that the developers can use or refine. Third, CHIME will provide targeted notifications about others' software modifications by monitoring other developers' change-events that are relevant to the developer's own modification. The impact of this research will be substantially improved developer productivity in a rapidly-evolving, collaborative and parallel software development. CHIME will reduce awareness information overload and will help users manage the impact of others' code changes on their code, detect and resolve merge conflicts early, and coordinate shared tasks, contributing toward early detection and removal of integration and interference failures.

协作对于软件开发至关重要。随着软件工程师的开发和发展软件，他们需要分析其他开发人员在各种任务中实施的过去和现在软件修改，例如PEER代码审查，错误调查和变化影响分析。开发人员经常被有关软件修改的大量认识信息所淹没。有关签到，构建和回归测试的自动生成电子邮件通常会淹没开发人员的邮箱，但是开发人员很难识别出重要且相关的变更事件。现有的软件工程工具并不容易允许开发人员搜索与其任务，重点和兴趣相关的软件修改。本研究项目将为调查称为Chime的协作开发环境中的软件修改提供分析支持。 首先，Chime将提供可扩展的逻辑变更分析框架，该框架可以根据各种Delta关系标识与自己的代码修改相关的软件修改。该框架的用户可以在单个软件修改之间导入，选择和扩展各种干扰，依赖，相似性和共发生关系的各种概念。其次，Chime将提供一个搜索界面，以授权用户询问和回答有关多个修订版中代码更改的内容，结构和上下文的问题。为了减少程序员对制定搜索查询的负担，我们将与专业开发人员进行实证研究，以确定有关过去和现在软件修改的常见问题。最终的问题列表将作为模板查询提供，开发人员可以使用或完善。第三，Chime将通过监视与开发人员自己的修改相关的其他开发人员的变更事件来提供有关他人软件修改的有针对性通知。这项研究的影响将在快速发展，协作和并行软件开发中大大提高开发人员的生产率。 Chime将减少意识信息过载，并将帮助用户管理他人代码更改其代码的影响，及早检测和解决合并冲突，并协调共享任务，从而有助于早期检测和删除集成和干扰失败。