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Predicting issue types on GitHub

  • Published:2021-05 Issue: Volume:205 Page:102598
  • ISSN:0167-6423
  • Container-title:Science of Computer Programming
  • language:en
  • Short-container-title:Science of Computer Programming

Author:

Kallis Rafael,Di Sorbo Andrea,Canfora Gerardo,Panichella Sebastiano

Funder

Horizon 2020

Publisher

Elsevier BV

Subject

Software

Reference20 articles.

1. Investigating the criticality of user-reported issues through their relations with app rating;Di Sorbo;J. Softw. Evol. Process,2020

2. How to save on software maintenance costs. Omnext white paper;Floris;Source Value,2010

3. Got issues? Who cares about it? A large scale investigation of issue trackers from github;Bissyandé,2013

4. How developers' collaborations identified from different sources tell us about code changes;Panichella,2014

5. Exploring the characteristics of issue-related behaviors in github using visualization techniques;Liao;IEEE Access,2018

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1. Software bug prediction using graph neural networks and graph-based text representations;Expert Systems with Applications;2025-01

2. Identifying safety–critical concerns in unmanned aerial vehicle software platforms with SALIENT;SoftwareX;2024-09

3. Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software;Proceedings of the 15th Asia-Pacific Symposium on Internetware;2024-07-24

4. An Empirical Analysis of Issue Templates Usage in Large-Scale Projects on GitHub;ACM Transactions on Software Engineering and Methodology;2024-06-03

5. Applying Large Language Models to Issue Classification;Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering;2024-04-20
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