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Erschienen in: Mobile Networks and Applications 4/2019

13.01.2018

A Prediction Model of the Project Life-Span in Open Source Software Ecosystem

verfasst von: Zhifang Liao, Benhong Zhao, Shengzong Liu, Haozhi Jin, Dayu He, Liu Yang, Yan Zhang, Jinsong Wu

Erschienen in: Mobile Networks and Applications | Ausgabe 4/2019

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Abstract

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 help developers reschedule the project in open source software ecosystem.

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Metadaten
Titel
A Prediction Model of the Project Life-Span in Open Source Software Ecosystem
verfasst von
Zhifang Liao
Benhong Zhao
Shengzong Liu
Haozhi Jin
Dayu He
Liu Yang
Yan Zhang
Jinsong Wu
Publikationsdatum
13.01.2018
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 4/2019
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-018-0993-3

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