DocumentCode
630437
Title
A Git Source Repository Analysis Tool Based on a Novel Branch-Oriented Approach
Author
HaeJun Lee ; Bon-Keun Seo ; Euiseong Seo
fYear
2013
fDate
24-26 June 2013
Firstpage
1
Lastpage
4
Abstract
Code repositories of the version control systems have been used as important raw material in lots of developer behavior studies. In such research, commits are usually considered as a unit of development phases, even though they contain limited information over development process. Unlike former source code management systems, Git provides branching, which are the unit of concurrent and independent development activities in a whole project. Branches have significant advantages over commits from the viewpoint of the developer behavior researchers. By exploiting the characteristics of branching, we propose a Git branch analysis tool. The proposed tool automatically extracts branching data from Git repositories and performs statistical and graphical analysis on them. Through a few case studies using a number of popular OSS project repositories, we showed that the proposed branch-oriented analyzer is able to perform more insightful analysis than the existing commit-based analyzers.
Keywords
concurrency control; data handling; project management; public domain software; source coding; statistical analysis; Git branch analysis tool; Git source repository analysis tool; OSS project repositories; automatic branching data extraction; branch-oriented analyzer; concurrent development activities; development phases; development process; graphical analysis; independant development activities; open source software project repositories; raw material; statistical analysis; version control systems; Conferences; Data mining; History; Kernel; Linux; Merging; Open source software;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location
Suwon
Print_ISBN
978-1-4799-0602-4
Type
conf
DOI
10.1109/ICISA.2013.6579457
Filename
6579457
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