SHF:Small: Social-Technical Code Search

SHF:Small：社会技术代码搜索

• 批准号: 1321112
• 负责人: Adriaan van der Hoek
• 金额: $ 30万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1321112&HistoricalAwards=false
• 关键词: SHF; Small; Social; Technical; Code

Programming has undergone a paradigm shift: with the abundance of resources available on the web, including open source code repositories, question and answer forums, tutorials, and online books, programmers now routinely search for code. Indeed, it can easily be argued that the modern programmer has to be as versed in finding and interpreting relevant code on the web as they are in actually writing code.Clearly, how effective and efficient developers are in their searches depends on the tool they use. Whether a search concerns a quest for an entire component that performs certain functionality, a hunt for an example of how to use an API, or a quick look for how to implement some algorithm, the success of the search stands or falls with the quality and relevance of the results returned by the chosen search engine.This proposal seeks to explore the concept of social-technical code search, in which the information that is used by the search engine to produce its results is enriched with both social and technical metadata that, together, construct a rich context about the code, its current state, and how it came about. We hypothesize that this context significantly increases the quality and relevance of code search results, and, particularly, too, enables the developer to effectively explore code search results rather than just examining each result one-by-one in isolation.Specific outcomes from this research will include: (1) a novel conceptual approach to code search, (2) new ranking algorithms that take into account both code and its social-technical context when ordering search results, (3) a novel code search engine and associated search interface, (4) new insights into how developers search for code, and (5) an publicly available archive of search queries and behaviors that can be mined and analyzed by other researchers for their purposes.

编程经历了一个范式的转变：随着网络上丰富的可用资源，包括开源代码存储库、问答论坛、教程和在线书籍，程序员现在经常搜索代码。事实上，我们可以很容易地认为，现代程序员必须精通于在网络上查找和解释相关代码，就像他们实际编写代码一样。显然，开发人员的搜索效果和效率取决于他们使用的工具。无论搜索是关于寻找执行某些功能的整个组件，还是寻找如何使用API的示例，还是快速查找如何实现某些算法，搜索的成功与否取决于所选搜索引擎返回的结果的质量和相关性。本提案旨在探索社会-技术代码搜索的概念，在这个概念中，搜索引擎用来产生结果的信息被社会和技术元数据所丰富，这些元数据一起构建了一个关于代码、当前状态以及它是如何产生的丰富上下文。我们假设这个上下文显著地提高了代码搜索结果的质量和相关性，并且，特别地，也使开发人员能够有效地探索代码搜索结果，而不仅仅是孤立地逐个检查每个结果。这项研究的具体成果将包括：(1)一种新的代码搜索概念方法，(2)在排序搜索结果时考虑到代码及其社会技术背景的新排名算法，(3)一种新的代码搜索引擎和相关搜索界面，(4)对开发人员如何搜索代码的新见解，以及(5)可供其他研究人员挖掘和分析的搜索查询和行为的公开存档。