EAGER: Boa: A Community Research Infrastructure for Mining Software Repositories

EAGER：Boa：采矿软件存储库的社区研究基础设施

• 批准号: 1349153
• 负责人: Hridesh Rajan
• 金额: $ 9.64万
• 依托单位: Iowa State University
• 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: 2013-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1349153&HistoricalAwards=false
• 关键词: EAGER; Boa; Community; Research; Infrastructure

In today's software-centric world, ultra-large-scale software repositories, e.g. SourceForge (350,000+ projects), GitHub (250,000+ projects), and Google Code (250,000+ projects) are the new library of Alexandria. They contain an enormous corpus of software and information about software. Scientists and engineers alike are interested in analyzing this wealth of information both for curiosity as well as for testing important research hypotheses. However, the current barrier to entry is often prohibitive and only a few with well-established research infrastructure and deep expertise in mining software repositories can attempt such ultra-large-scale experiments.A facility called Boa has been prototyped: a domain-specific language and a BIGDATA repository containing 700,000+ open source projects for analyzing ultra-large scale software repositories to help with such experiments.This experimental research infrastructure is of significant interest to a wide community of software engineering and programming language researchers. The main goal of this EAGER project is to examine the requirements for making Boa broadly available to the software engineering and programming language community, to work with an initial set of researchers to try to fulfill these requirements, and to take preliminary steps toward making Boa a community-sustained, scalable, and extensible research infrastructure. This is an enabling and transformative project. Its success will aid and accelerate scientific research in software engineering, allowing scientists and engineers to focus on the essential tasks. This advance will primarily be achieved by significantly lowering the barrier to entry and thus enabling a larger and more ambitious line of data-intensive scientific discovery in this area.

在当今以软件为中心的世界中，超大规模的软件存储库，例如SourceForge（350,000+ 项目）、GitHub（250,000+ 项目）和 Google Code（250,000+ 项目）是 Alexandria 的新库。它们包含大量的软件和有关软件的信息。科学家和工程师都对分析这些丰富的信息感兴趣，既是出于好奇，也是为了测试重要的研究假设。然而，目前的进入壁垒往往令人望而却步，只有少数拥有完善的研究基础设施和挖掘软件存储库方面深厚专业知识的人才能尝试这种超大规模的实验。一种名为 Boa 的设施已经原型化：一种特定领域的语言以及包含 700,000 多个开源项目的 BIGDATA 存储库，用于分析超大规模软件存储库以帮助进行此类实验。这个实验研究基础设施引起了广泛的软件工程和编程语言研究人员社区的极大兴趣。这个 EAGER 项目的主要目标是检查使 Boa 广泛应用于软件工程和编程语言社区的要求，与最初的一组研究人员合作以尝试满足这些要求，并采取初步步骤使 Boa 成为社区维持的、可扩展的、可扩展的研究基础设施。这是一个赋能和变革性的项目。它的成功将有助于并加速软件工程的科学研究，使科学家和工程师能够专注于基本任务。这一进步主要通过显着降低进入门槛来实现，从而在该领域实现更大规模、更雄心勃勃的数据密集型科学发现。