SHF: Small: Open Source Software Components: Utilization Assessment and Automatic Retrieval

SHF：小型：开源软件组件：利用率评估和自动检索

• 批准号: 1018374
• 负责人: Cristina Lopes
• 金额: $ 49.96万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1018374&HistoricalAwards=false
• 关键词: SHF; Small; Open; Source; Software

Software quality has been an important but illusive concept for several decades, with experts different, sometimes conflicting, guidelines. Using an ecosystem of about 20,000 open source Java projects, this study will to try to discover correlations between open source component utilization and software quality metrics, in order to provide the strongest empirical evidence yet as to how the several metrics pertaining to software quality correlate with actual utilization of reusable components. This study will provide a scientific basis to some of the existing guidelines and to the dismissal of some others. If no correlations are found, this result will disrupt current conceptualizations of component quality, forcing researchers and developers to reassess their understanding of software quality and reusable components. Software being a foundation of modern society, and Open Source development being a significant movement in society at large, it is critical to gain a deeper understanding of software quality on a global scale, leading to the development of innovative tools and methods.The metrics used in this study are those defined by the SQO-OSS Quality Model. To understand correlations, the following method will be used. First the dependency graph will be built, capturing software dependencies at the global scale. This requires overcoming technical challenges in cleaning up and clustering the data, as real world projects contain all sorts of idiosyncrasies related to the use of external components. Second, a suite of utilization metrics will be developed using this global dependency graph that capture the depth and breadth of component usage by these projects. Finally, the SQO-OSS Quality metrics for a significant subset of projects in the data set will be computed and compared with the projects' utilization metrics in order to reveal the correlations.

几十年来，软件质量一直是一个重要但虚幻的概念，专家有不同的，有时是矛盾的指南。这项研究使用约20,000个开源Java项目的生态系统，试图发现开源组件利用率和软件质量指标之间的相关性，以便提供有关迄今为止与软件质量有关的几种指标与可重复使用的组件的实际利用相关的几种指标。这项研究将为某些现有准则提供科学依据，并解雇其他一些指南。如果找不到相关性，则此结果将破坏组件质量的当前概念化，从而迫使研究人员和开发人员重新评估他们对软件质量和可重复使用的组件的理解。软件是现代社会的基础，开源开发是整个社会的重大运动，至关重要的是，在全球范围内更深入地了解软件质量，从而导致创新工具和方法的开发。本研究中使用的指标是SQO-SOSS质量模型所定义的指标。要了解相关性，将使用以下方法。首先，将构建依赖图图，从而在全球范围内捕获软件依赖关系。这需要克服清理和聚类数据时要面临的技术挑战，因为现实世界项目包含与外部组件使用相关的各种特质。其次，将使用此全球依赖图图制定一套利用度量标准，该图表捕获了这些项目的组件用法的深度和广度。最后，将计算数据集中大量项目子集的SQO-OSS质量指标，并将其与项目的利用度量指标进行比较，以揭示相关性。