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Python: Characteristics identification of a free open source software ecosystem

机译:Python:自由开源软件生态系统的特征识别

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Analysing a free open source software ecosystem can be beneficial and can help stakeholders in numerous ways. The analysis can help developers, investors, and contributors, to decide which software ecosystem to invest in and where to invest. Another reason for making an analysis is to assist ecosystem coordinators in governing their ecosystem. The paper provides an insight on the free open source software ecosystem of Python. It presents an analysis of the software ecosystem itself and the different characteristics it has. Based upon the conducted analysis with the available dataset, the research concludes that the free open source software ecosystem of Python contains three ecosystem roles that define its ecosystem. Next to that, it has grown exponentially from 31 active developers in 2005 to 5,212 December 2012. These results can help set up a strategy for the future of the Python ecosystem. At this point in time, it is necessary to make arrangements for the ongoing growth of the Python ecosystem. Failing to do so can lead to a growing number of unusable features, and eventually advance to an unhealthy ecosystem.
机译:分析一个免费的开源软件生态系统可能是有益的,并且可以以多种方式帮助利益相关者。该分析可以帮助开发人员,投资者和贡献者确定要在哪个软件生态系统上进行投资以及在何处进行投资。进行分析的另一个原因是协助生态系统协调员管理其生态系统。本文提供了关于Python的免费开源软件生态系统的见解。它对软件生态系统本身及其具有的不同特征进行了分析。根据对可用数据集进行的分析,研究得出结论,Python的免费开源软件生态系统包含三个定义其生态系统的生态系统角色。紧接着,它的数量从2005年的31位活跃的开发人员增长到2012年12月的5212位。这些结果可以帮助制定Python生态系统的未来战略。此时,有必要为Python生态系统的持续发展做出安排。否则,将导致越来越多的不可用功能,最终导致不健康的生态系统。

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