Empirically revisiting and enhancing automatic classification of bug and non-bug issues
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 …
Issue Tracking Systems (ITSs). Although the existing approaches have shown promising …
Deeplabel: Automated issue classification for issue tracking systems
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 …
aid software maintenance and evaluation. Issue classification is one of the most important …
Ticket tagger: Machine learning driven issue classification
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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
More and more users and developers are using Issue Tracking Systems (ITSs) to report
issues, including bugs, feature requests, enhancement suggestions, etc. Different …
issues, including bugs, feature requests, enhancement suggestions, etc. Different …