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.
翻译:开放源码软件(OSS)在当今发挥着日益重要的作用,现已被普遍采用,并被纳入各种软件产品中,对于许多实践者来说,选择和采用适当的开放源码软件可以大有帮助,尽管已经就提议开放源码软件评价和选择模式进行了许多研究,但行业遵循和使用的数量有限,同时,许多现有的开放源码软件评价工具虽然提供了宝贵的细节,但未能在框架支持的评价因素方面提供直观的建议。为填补这一空白,我们提议了开放源码软件项目评价和选择TOol(OSS PESTO)。在最大的开放源码软件源码主机Github上选择开放源码软件,它通过使实践者能够就选定的开放源码软件评价模式对其中的候选人进行比较,从而便利了评价做法。它还使得Github的数据收集和定制评价能够及时增加其效率和使用便利性。