ABSTRACT

Software module clustering approaches can provide a better understanding of large and complex software systems through decomposing the enterprise resources into classified modules which are smaller, and therefore easier-to-handle. As the dimensions and complexity of enterprise software projects are continuously increasing, handling a large software project is going to be more challenging. The challenge would be more complex if the experienced personnel is considered as well. Therefore, appropriate automatic software modularization clustering methods are required in resource management. This paper provides a Systematic Literature Review (SLR) on the software modularization clustering models. We studied a wide range of papers from 2001 to 2020 to provide our SLR. Also, a technical taxonomy is presented to classify the existing papers on software modularization clustering models and algorithms. The software module clustering methods are categorized into three main classes. Finally, new challenges and forthcoming issues of software modularization clustering models are presented.

摘要

软件模块聚类方法可以通过将企业资源分解为更小、更易于处理的分类模块，从而更好地理解大型复杂软件系统。随着企业软件项目的规模和复杂性不断增加，处理大型软件项目将更具挑战性。如果还考虑到有经验的人员，挑战会更加复杂。因此，在资源管理中需要合适的自动化软件模块化聚类方法。本文提供了关于软件模块化聚类模型的系统文献综述 (SLR)。我们研究了从 2001 年到 2020 年的大量论文，以提供我们的 SLR。还，提出了一种技术分类法来对现有的关于软件模块化聚类模型和算法的论文进行分类。软件模块聚类方法分为三大类。最后，提出了软件模块化聚类模型的新挑战和即将面临的问题。