mlsanityData to 14 Oct 2026

GiveMeLabeledIssues: An Open Source Issue Recommendation System

arXiv 2303.13418 ↗First posted 23 Mar 2023cs.SE cs.LGcited by 3

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Abstract (arXiv)

Developers often struggle to navigate an Open Source Software (OSS) project's issue-tracking system and find a suitable task. Proper issue labeling can aid task selection, but current tools 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 (GiveMeLabeledIssues) that mines project repositories and labels issues based on the skills required to solve them. We leverage the domain of the APIs involved in the solution (e.g., User Interface (UI), Test, Databases (DB), etc.) as a proxy for the required skills. GiveMeLabeledIssues facilitates matching developers' skills to tasks, reducing the burden on project maintainers. The tool obtained a precision of 83.9% when predicting the API domains involved in the issues. The replication package contains instructions on executing the tool and including new projects. A demo video is available at https://www.youtube.com/watch?v=ic2quUue7i8

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 8 of its 27 references that are in the map. First posted on arXiv 23 Mar 2023.

Builds on

8 of 27 references.

References · 8

  1. 2019Large Batch Optimization for Deep Learning: Training BERT in 76 minutescited by 674
  2. 2020Predicting the Objective and Priority of Issue Reports in Software Repositoriescited by 11
  3. 2021Can I Solve It? Identifying APIs Required to Complete OSS Taskcited by 7
  4. 2021How Do Software Developers Use GitHub Actions to Automate Their Workflows?cited by 6
  5. 2019A Bug or a Suggestion? An Automatic Way to Label Issuescited by 5
  6. 2020Representation of Developer Expertise in Open Source Softwarecited by 3
  7. 2021Bug or not bug? That is the questioncited by 3
  8. 2019Identifying Experts in Software Libraries and Frameworks among GitHub Userscited by 2

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Citing papers per year: 2024: 1; 2025: 2.

3 papers.