Empirically revisiting and enhancing automatic classification of bug and non-bug issues

Z Li, M Pan, Y Pei, T Zhang, L Wang, X Li - Frontiers of Computer Science, 2024 - Springer
A large body of research effort has been dedicated to automated issue classification for
Issue Tracking Systems (ITSs). Although the existing approaches have shown promising …

Deeplabel: Automated issue classification for issue tracking systems

Z Li, M Pan, Y Pei, T Zhang, L Wang, X Li - Proceedings of the 13th Asia …, 2022 - dl.acm.org
With the growth of Issue Tracking Systems, issue reports have become an important data to
aid software maintenance and evaluation. Issue classification is one of the most important …

Ticket tagger: Machine learning driven issue classification

R Kallis, A Di Sorbo, G Canfora… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Software maintenance is crucial for software projects evolution and success: code should be
kept up-to-date and error-free, this with little effort and continuous updates for the end-users …

Automatic issue classifier: A transfer learning framework for classifying issue reports

A Nadeem, MU Sarwar, MZ Malik - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Issue tracking systems are used in the software industry for the facilitation of maintenance
activities that keep the software robust and up to date with ever-changing industry …

[HTML][HTML] Classifying issue reports according to feature descriptions in a user manual based on a deep learning model

H Cho, S Lee, S Kang - Information and Software Technology, 2022 - Elsevier
Context Issue reports are documents with which users report problems and state their
opinions on a software system. Issue reports are useful for software maintenance, but …

Impact of data quality for automatic issue classification using pre-trained language models

G Colavito, F Lanubile, N Novielli, L Quaranta - Journal of Systems and …, 2024 - Elsevier
Issue classification aims to recognize whether an issue reports a bug, a request for
enhancement or support. In this paper we use pre-trained models for the automatic …

[HTML][HTML] A multimodal deep learning model using text, image, and code data for improving issue classification tasks

C Kwak, P Jung, S Lee - Applied Sciences, 2023 - mdpi.com
Issue reports are valuable resources for the continuous maintenance and improvement of
software. Managing issue reports requires a significant effort from developers. To address …

Accurate Information Type Classification for Software Issue Discussions with Random Oversampling

B Muhibullaev, J Kim - IEEE Access, 2024 - ieeexplore.ieee.org
An Issue Tracking System (ITS) plays a crucial role in software development and provides
valuable information for understanding issue management. In an ITS, software developers …

Label prediction on issue tracking systems using text mining

JM Alonso-Abad, C López-Nozal… - Progress in Artificial …, 2019 - Springer
Issue tracking systems are overall change-management tools in software development. The
issue-solving life cycle is a complex socio-technical activity that requires team discussion …

A bug or a suggestion? an automatic way to label issues

Y Zhu, M Pan, Y Pei, T Zhang - arXiv preprint arXiv:1909.00934, 2019 - arxiv.org
More and more users and developers are using Issue Tracking Systems (ITSs) to report
issues, including bugs, feature requests, enhancement suggestions, etc. Different …