Abstract
In this study, with time series machine learning, the traits data of GitHub open source project was used to establish a model named open source maturity model. This model used timeseries machine learning(OMMTML), which was compared with the traditional open source software maturity assessment model and open source project analyze framework (OSPAF). The aim is to reveal how the model is different in finding the mature project. We use the project recommended by the open source community as a standard for mature projects, and the result shows that the model has better versatility and accuracy.
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