Chen, Zhijie

Fan, Xiaoping

He, Dayu

Liao, Zhifang

Liu, Shengzong

Zhang, Yan

English

Zhifang Liao

Dayu He

Zhijie Chen

Xiaoping Fan

Yan Zhang

Shengzong Liu

Crossref

IEEE Access

Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques

Feedback from software users, such as bug reports, is vital in the management of software projects. In GitHub, the feedback is typically expressed as new issues. Through filing issue reports, users may help identify and fix bugs, document software code, and enhance software quality via feature requests. In this paper, we aim at investigating some characteristics of issues to facilitate issue management and software management. We investigate the important degrees of behaviors that are related to issues in popular projects to assess the importance of issues in GitHub and analyze the effectiveness of issue labeling for issue handling. Then, we explore the patterns of issue commits over time in popular projects based on visual analysis and obtain the following results: we find that the behaviors that are related to issues play important roles in the GitHub. We also find that the time distribution of issue commits follows a three-period development model, which approximately corresponds to the project life cycle. These results may provide a new knowledge about issues that can help managers manage and allocate project resources more effectively and even reduce software failures

ResearchOnline@GCU

Exploring the characteristics of issue-related behaviors in GitHub using visualization techniques

https://researchonline.gcu.ac.uk/files/26143270/Zhang_08304571.pdf

Exploring the characteristics of issue-related behaviors in GitHub using visualization techniques

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ResearchOnline@GCU