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GiveMeLabeledIssues: An Open Source Issue Recommendation System

Joseph Vargovich, Fabio Santos, Jacob Penney, Marco A. Gerosa, Igor Steinmacher

TL;DR

This paper presents a tool (GiveMeLabeledIssues) that mines project repositories and labels issues based on the skills required to solve them, leveraging the domain of the APIs involved in the solution as a proxy for the required skills.

Abstract

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

GiveMeLabeledIssues: An Open Source Issue Recommendation System

TL;DR

This paper presents a tool (GiveMeLabeledIssues) that mines project repositories and labels issues based on the skills required to solve them, leveraging the domain of the APIs involved in the solution as a proxy for the required skills.

Abstract

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
Paper Structure (14 sections, 5 figures, 2 tables)

This paper contains 14 sections, 5 figures, 2 tables.

Table of Contents

  1. Introduction
  2. GiveMeLabeledIssues Architecture
  3. Model training
  4. Mining repositories
  5. APIs parsing
  6. Dataset construction
  7. API categorization
  8. Corpus construction
  9. Building the model
  10. Issue Classification Process
  11. User Interface
  12. Evaluation
  13. Related Work
  14. Conclusion and Future Work

Figures (5)

  • Figure 1: The Process of Training a Model
  • Figure 2: The Process of Classifying and Storing Issues
  • Figure 3: The Process of Outputting Issues
  • Figure 4: Selection of a project and API domains
  • Figure 5: Labeled Issues Outputted for JabRef with the Utility, Databases, User Interface, and Application skills Selected