Authors
Renan Vieira, Antônio da Silva, Lincoln Rocha, João Paulo Gomes
Publication date
2019/9/18
Book
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering
Pages
80-89
Description
Bugs appear in almost any software development. Solving all or at least a large part of them requires a great deal of time, effort, and budget. Software projects typically use issue tracking systems as a way to report and monitor bug-fixing tasks. In recent years, several researchers have been conducting bug tracking analysis to better understand the problem and thus provide means to reduce costs and improve the efficiency of the bug-fixing task. In this paper, we introduce a new dataset composed of more than 70,000 bug-fix reports from 10 years of bug-fixing activity of 55 projects from the Apache Software Foundation, distributed in 9 categories. We have mined this information from Jira issue track system concerning two different perspectives of reports with closed/resolved status: static (the latest version of reports) and dynamic (the changes that have occurred in reports over time). We also extract information from …
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Scholar articles
R Vieira, A da Silva, L Rocha, JP Gomes - Proceedings of the Fifteenth International Conference …, 2019