DocumentCode
3277367
Title
Mining Developer Contribution in Open Source Software Using Visualization Techniques
Author
Xu Ben ; Shen Beijun ; Yang Weicheng
Author_Institution
Sch. of Software Eng., Shanghai JiaoTong Univ., Shanghai, China
fYear
2013
fDate
16-18 Jan. 2013
Firstpage
934
Lastpage
937
Abstract
The research of developers´ contribution is an important part of the software evolution area. It allows project owners to find potential long-term contributors earlier and helps the newcomers to improve their behaviors. In this paper, we examined the contribution characteristics of developers in open source environment based on visual analysis, and presented approaches from three aspects-influencing factors, time characteristics and region characteristics. Our analysis used data from github and revealed some regular patterns. We found that the code which newcomers started to contribute with more people engaged in would lead to less contribution in some degree. We also found that there´s a relation between developers´ early and later period contribution. In addition, developers from different regions were more likely to have dominant relationship. Our findings may provide some support for future research in the area of software evolution.
Keywords
data analysis; data mining; data visualisation; public domain software; software management; aspects-influencing factors; developer early period contribution; developer later period contribution; github; mining developer contribution; open source environment; open source software; potential long-term contributors; project owners; region characteristics; software evolution area; time characteristics; visual analysis; visualization techniques; Data visualization; Linear regression; Measurement; Open source software; Visualization; contribution characteristics; open source software; software evolution; visual analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-4893-5
Type
conf
DOI
10.1109/ISDEA.2012.223
Filename
6456216
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