Title :
Automated Metric Visualizations for Analyzing Source Code Repositories
Author :
Jaekwon Lee ; Woosung Jung
Author_Institution :
Dept. of Comput. Eng., Chungbuk Nat. Univ., Cheongju, South Korea
Abstract :
Nowadays, the size of information from software projects are overwhelming developers and maintainers. Thus, researchers have studied to extract useful knowledge from the source code repositories. However, it is difficult to find patterns or trends from the text-style data directly. In this paper, we propose an automated approach to visualize the metrics of multiple projects. The case studies with the Android open source projects from v1.6 to v4.2 show that outliers, patterns or trends of code changes can be effectively detected with our approach.
Keywords :
data visualisation; knowledge acquisition; public domain software; software engineering; text analysis; Android open source project; automated metric visualization; code change; information size; pattern finding; software project; source code repository analysis; text-style data; trend finding; useful knowledge extraction; Complexity theory; Data mining; Data visualization; Market research; Measurement; Smart phones; Software;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579464
