Artículo de revista
A Prediction Model of the Project Life-Span in Open Source Software Ecosystem
Fecha
2019Registro en:
Mobile Networks and Applications, Volumen 24, Issue 4, 2019, Pages 1382-1391
15728153
1383469X
10.1007/s11036-018-0993-3
Autor
Liao, Zhifang
Zhao, Benhong
Liu, Shengzong
Jin, Haozhi
He, Dayu
Yang, Liu
Zhang, Yan
Wu, Jinsong
Institución
Resumen
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.In nature ecosystems, animal life-spans are determined by genes and some other biological characteristics. Similarly, the software project life-spans are related to some internal or external characteristics. Analyzing the relations between these characteristics and the project life-span, may help developers, investors, and contributors to control the development cycle of the software project. The paper provides an insight on the project life-span for a free open source software ecosystem. The statistical analysis of some project characteristics in GitHub is presented, and we find that the choices of programming languages, the number of files, the label format of the project, and the relevant membership expressions can impact the life-span of a project. Based on these discovered characteristics, we also propose a prediction model to estimate the project life-span in open source software ecosystems. These results may h