An Empirical Study on Factors Impacting Bug Fixing Time

Author(s):  
Feng Zhang ◽  
Foutse Khomh ◽  
Ying Zou ◽  
Ahmed E. Hassan
Keyword(s):  
2019 ◽  
Vol 28 (4) ◽  
pp. 1-29 ◽  
Author(s):  
Michele Tufano ◽  
Cody Watson ◽  
Gabriele Bavota ◽  
Massimiliano Di Penta ◽  
Martin White ◽  
...  

2017 ◽  
Vol 27 (09n10) ◽  
pp. 1507-1527
Author(s):  
Judith F. Islam ◽  
Manishankar Mondal ◽  
Chanchal K. Roy ◽  
Kevin A. Schneider

Code cloning is a recurrent operation in everyday software development. Whether it is a good or bad practice is an ongoing debate among researchers and developers for the last few decades. In this paper, we conduct a comparative study on bug-proneness in clone code and non-clone code by analyzing commit logs. According to our inspection of thousands of revisions of seven diverse subject systems, the percentage of changed files due to bug-fix commits is significantly higher in clone code compared with non-clone code. We perform a Mann–Whitney–Wilcoxon (MWW) test to show the statistical significance of our findings. In addition, the possibility of occurrence of severe bugs is higher in clone code than in non-clone code. Bug-fixing changes affecting clone code should be considered more carefully. Finally, our manual investigation shows that clone code containing if-condition and if–else blocks has a high risk of having severing bugs. Changes to such types of clone fragments should be done carefully during software maintenance. According to our findings, clone code appears to be more bug-prone than non-clone code.


Author(s):  
Weiqin Zou ◽  
Xin Xia ◽  
Weiqiang Zhang ◽  
Zhenyu Chen ◽  
David Lo
Keyword(s):  

2016 ◽  
Vol 4 (4) ◽  
pp. 35-55 ◽  
Author(s):  
Md Rakibul Islam ◽  
Minhaz F. Zibran

Software development is highly dependent on human efforts and collaborations, which are immensely affected by emotions. This paper presents a quantitative empirical study of the emotional variations in different types of development activities (e.g., bug-fixing tasks), development periods (i.e., days and times) and in projects of different sizes involving teams of variant sizes. The study also includes an in-depth investigation of emotions' impacts on software artifacts (i.e., commit messages) and exploration of scopes for exploiting emotional variations in software engineering activities. This work is based on careful analyses of emotions in more than 490 thousand commit comments across 50 open-source projects. The findings from this work add to our understanding of the role of emotions in software development, and expose scopes for exploitation of emotional awareness in improved task assignments and collaborations.


Author(s):  
Tao Zhang ◽  
Geunseok Yang ◽  
Byungjeong Lee ◽  
Alvin T. S. Chan

An important part of software maintenance is bug report analysis during bug-fixing, especially for large-scale software projects. Since bugs reported to the bug repository need to be fixed, triagers are responsible to identify appropriate developers to execute the fix. Previous research focused on optimizing this process, such as by duplicate detection and use of developer recommendations for reducing the workload of triagers. However, there were scant studies that analyzed developer roles (e.g. reporter and assignee) in the bug-fixing process. Therefore, in this paper, we perform an in-depth empirical study of the different roles that developers perform in bug resolution. By extracting the factors that affect bug resolution from the analysis results, we propose a novel bug triage algorithm to recommend the appropriate developers to fix a given bug. We implement the proposed recommendations on the Eclipse and Mozilla Firefox projects, with the results showing that the new bug triage algorithm can effectively recommend which experts should fix given bugs.


2017 ◽  
Vol 23 (3) ◽  
pp. 1704-1742 ◽  
Author(s):  
Mariam El Mezouar ◽  
Feng Zhang ◽  
Ying Zou
Keyword(s):  

Author(s):  
Md Rakibul Islam ◽  
Minhaz F. Zibran

Software development is highly dependent on human efforts and collaborations, which are immensely affected by emotions. This paper presents a quantitative empirical study of the emotional variations in different types of development activities (e.g., bug-fixing tasks), development periods (i.e., days and times) and in projects of different sizes involving teams of variant sizes. The study also includes an in-depth investigation of emotions' impacts on software artifacts (i.e., commit messages) and exploration of scopes for exploiting emotional variations in software engineering activities. This work is based on careful analyses of emotions in more than 490 thousand commit comments across 50 open-source projects. The findings from this work add to our understanding of the role of emotions in software development, and expose scopes for exploitation of emotional awareness in improved task assignments and collaborations.


1996 ◽  
Vol 81 (1) ◽  
pp. 76-87 ◽  
Author(s):  
Connie R. Wanberg ◽  
John D. Watt ◽  
Deborah J. Rumsey

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