GiveMeLabeledIssues: An Open Source Issue Recommendation System
Developers often struggle to identify the skills required to work on open issues in Open Source Software (OSS) projects. Proper issue labeling can help task selection, but current strategies are limited to classifying the issues according to their type (e.g., bug, question, good first issue, feature, etc.). In contrast, this paper presents a tool that mines project repositories and labels issues based on the skills required to solve them, more specifically the domain of the APIs involved in the solution (e.g., User Interface (UI), Test, Databases (DB), etc.). GiveMeLabeledIssues facilitates matching developers’ skills and tasks, reducing the burden on project maintainers by minimizing the amount of manual labeling needed to annotate project issues effectively. The demo toll obtained a precision of 83.9% predicting projects with TF-IDF and Random Forest (RF).
Tue 16 MayDisplayed time zone: Hobart change
11:00 - 11:45 | Documentation + Q&A IITechnical Papers / Data and Tool Showcase Track at Meeting Room 109 Chair(s): Maram Assi Queen's University | ||
11:00 12mTalk | Understanding the Role of Images on Stack Overflow Technical Papers Dong Wang Kyushu University, Japan, Tao Xiao Nara Institute of Science and Technology, Christoph Treude University of Melbourne, Raula Gaikovina Kula Nara Institute of Science and Technology, Hideaki Hata Shinshu University, Yasutaka Kamei Kyushu University Pre-print | ||
11:12 12mTalk | Do Subjectivity and Objectivity Always Agree? A Case Study with Stack Overflow Questions Technical Papers Saikat Mondal University of Saskatchewan, Masud Rahman Dalhousie University, Chanchal K. Roy University of Saskatchewan Pre-print | ||
11:24 6mTalk | GiveMeLabeledIssues: An Open Source Issue Recommendation System Data and Tool Showcase Track Joseph Vargovich Northern Arizona University, Fabio Marcos De Abreu Santos Northern Arizona University, USA, Jacob Penney Northern Arizona University, Marco Gerosa Northern Arizona University, Igor Steinmacher Northern Arizona University Pre-print Media Attached | ||
11:30 6mTalk | DocMine: A Software Documentation-Related Dataset of 950 GitHub Repositories Data and Tool Showcase Track | ||
11:36 6mTalk | PENTACET data - 23 Million Code Comments and 500,000 SATD comments Data and Tool Showcase Track Murali Sridharan University of Oulu, Leevi Rantala University of Oulu, Mika Mäntylä University of Oulu | ||