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 reque...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8304571/ |
| _version_ | 1818410511048376320 |
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| author | Zhifang Liao Dayu He Zhijie Chen Xiaoping Fan Yan Zhang Shengzong Liu |
| author_facet | Zhifang Liao Dayu He Zhijie Chen Xiaoping Fan Yan Zhang Shengzong Liu |
| author_sort | Zhifang Liao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T10:16:41Z |
| format | Article |
| id | doaj.art-e2106a1f4071423d87ade430418a6806 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:16:41Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e2106a1f4071423d87ade430418a68062022-12-21T23:06:49ZengIEEEIEEE Access2169-35362018-01-016240032401510.1109/ACCESS.2018.28102958304571Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization TechniquesZhifang Liao0https://orcid.org/0000-0002-5525-904XDayu He1Zhijie Chen2Xiaoping Fan3Yan Zhang4Shengzong Liu5School of Software Engineering, Central South University, Changsha, ChinaSchool of Software Engineering, Central South University, Changsha, ChinaSchool of Information and Science Engineering, Central South University, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaDepartment of Computer, Communication and Interactive System, School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaFeedback 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.https://ieeexplore.ieee.org/document/8304571/Open-source software communityproject development modelvisual analysisissue commitsoftware management |
| spellingShingle | Zhifang Liao Dayu He Zhijie Chen Xiaoping Fan Yan Zhang Shengzong Liu Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques IEEE Access Open-source software community project development model visual analysis issue commit software management |
| title | Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques |
| title_full | Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques |
| title_fullStr | Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques |
| title_full_unstemmed | Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques |
| title_short | Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques |
| title_sort | exploring the characteristics of issue related behaviors in github using visualization techniques |
| topic | Open-source software community project development model visual analysis issue commit software management |
| url | https://ieeexplore.ieee.org/document/8304571/ |
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