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OSS PESTO: An Open Source Software Project Evaluation and Selection TOol
arXiv - CS - Software Engineering Pub Date : 2021-02-24 , DOI: arxiv-2102.12267
Xiaozhou Li, Sergio Moreschini

Open source software (OSS), playing an increasingly critical role nowadays, has been commonly adopted and integrated in various software products. For many practitioners, selecting and adopting suitable OSS can help them greatly. Though many studies have been conducted on proposing OSS evaluation and selection models, a limited number are followed and used in the industry. Meanwhile, many existing OSS evaluation tools, though providing valuable details, fall short on offering intuitive suggestions in terms of framework-supported evaluation factors. Towards filling the gap, we propose an Open Source Software Project Evaluation and Selection TOol (OSS PESTO). Targeting OSS on Github, the largest OSS source code host, it facilitates the evaluation practice by enabling practitioners to compare candidates therein in terms of selected OSS evaluation models. It also allows in-time Github data collection and customized evaluation that enriches its effectiveness and ease of use.

中文翻译:

OSS PESTO:一个开源软件项目评估和选择工具

如今,开源软件(OSS)扮演着越来越重要的角色,已被各种软件产品普遍采用和集成。对于许多从业者来说,选择和采用合适的OSS可以极大地帮助他们。尽管已经对提出OSS评估和选择模型进行了许多研究,但是在行业中却遵循并使用了数量有限的研究。同时,许多现有的OSS评估工具尽管提供了有价值的细节,但在框架支持的评估因素方面却无法提供直观的建议。为了弥补这一空白,我们提出了一个开源软件项目评估和选择工具(OSS PESTO)。在最大的OSS源代码宿主Github上定位OSS,它使从业人员能够根据选定的OSS评估模型比较候选人,从而促进评估实践。它还允许及时的Github数据收集和定制评估,从而增强其有效性和易用性。
更新日期:2021-02-25
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