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，专家们有不同的，有时相互矛盾的指导方针。本研究使用一个由约20，000个开源Java项目组成的生态系统，试图发现开源组件利用率与软件质量指标之间的相关性，以提供最强有力的经验证据，说明与软件质量有关的几个指标如何与可重用组件的实际利用率相关。这项研究将为现有的一些指南和一些其他的解雇提供科学依据。如果没有发现相关性，这一结果将破坏当前组件质量的概念化，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用组件的理解。软件是现代社会的基础，而开源开发是整个社会的一个重要运动，因此在全球范围内深入了解软件质量至关重要，这将导致创新工具和方法的发展。本研究中使用的指标是由SQO-OSS质量模型定义的指标。为了理解相关性，将使用以下方法。首先将构建依赖关系图，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方面的技术挑战，因为真实的项目包含与使用外部组件相关的各种特性。其次，将使用这个全局依赖图开发一套利用率度量，这些依赖图捕获这些项目使用组件的深度和广度。最后，将计算数据集中重要项目子集的SQO-OSS质量指标，并与项目的利用率指标进行比较，以揭示相关性。