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

几十年来，软件质量一直是一个重要但虚幻的概念，专家们的指导方针各不相同，有时甚至相互矛盾。使用大约20,000个开源Java项目的生态系统，本研究将尝试发现开源组件利用率和软件质量度量之间的相关性，以便提供最有力的经验证据，说明与软件质量相关的几个度量如何与可重用组件的实际利用率相关联。这项研究将为现有的一些指导方针提供科学依据，并为取消其他一些指导方针提供科学依据。如果没有发现相关性，这个结果将破坏当前组件质量的概念，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重要运动，因此在全球范围内对软件质量有更深入的了解是至关重要的，这将导致创新工具和方法的开发。本研究中使用的度量标准是由SQO-OSS质量模型定义的。为了理解相关性，将使用以下方法。首先构建依赖关系图，在全局范围内捕获软件依赖关系。这需要克服清理和聚集数据方面的技术挑战，因为现实世界的项目包含与使用外部组件相关的各种特性。其次，将使用捕获这些项目的组件使用深度和广度的全局依赖关系图开发一套利用率度量。最后，将计算数据集中一个重要项目子集的SQO-OSS质量度量，并将其与项目的利用率度量进行比较，以揭示相关性。

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.