Data Analysis for Software Repository： A Case Study of GitHub
| Autor: | Liu, Yao Wen, 劉耀文 |
|---|---|
| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 GitHub began to develop in 2008, providing an online open source hosting platform. In addition to providing user-created organizations, projects and software repositories, it also provides more social features, including allowing users to track other users, join the dynamic project or organization, watch software repositories, modify the source code for the software, and make comments for the program error (bug). In this study, we analyze of GitHub data sets; by using different network indicators and analysis methods in order to find collaboration and social activities on GitHub plat-form. For example, in order to find flexibility of networks on GitHub, we analyze degree distributions and values of closeness centrality as well as betweenness centrality. At the same time, we investigate the interaction between GitHub users and projects in order to analyze the correlation between them. On the other hand, we analyze attraction and adhesion of the projects on GitHub platform. By using these two indicators, we can get the degree of contribution of the pro-jects, and the changes of the projects over time. We consider the four stages of evolution (active, flow period, stable, recession) of the projects on GitHub. Finally, we study the probability of transition of the all stages, and further we infer the trend of the future evo-lution of the projects on GitHub. Finally, this study could be extended and used to support other studies. For example, we can redefine the evolution stage of a project, select members for the project, and rec-ommend the project. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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