Metaheuristic research: a comprehensive survey
Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …
extensively reported in literature, which covers algorithms, applications, comparisons, and …
[HTML][HTML] An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review
NK Nagwani, JS Suri - … Journal of Information Management Data Insights, 2023 - Elsevier
The timely release of defect-free software and the optimization of development costs depend
on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast …
on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast …
CNN-based automatic prioritization of bug reports
Software systems often receive a large number of bug reports. Triagers read through such
reports and assign different priorities to different reports so that important and urgent bugs …
reports and assign different priorities to different reports so that important and urgent bugs …
Machine learning for software engineering: A tertiary study
Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …
lifecycle activities. We systematically collected, quality-assessed, summarized, and …
Predicting the objective and priority of issue reports in software repositories
Software repositories such as GitHub host a large number of software entities. Developers
collaboratively discuss, implement, use, and share these entities. Proper documentation …
collaboratively discuss, implement, use, and share these entities. Proper documentation …
Automated identification and qualitative characterization of safety concerns reported in uav software platforms
Unmanned Aerial Vehicles (UAVs) are nowadays used in a variety of applications. Given the
cyber-physical nature of UAVs, software defects in these systems can cause issues with …
cyber-physical nature of UAVs, software defects in these systems can cause issues with …
Deep neural network-based severity prediction of bug reports
Software maintenance is an essential phase of software development. Developers employ
issue tracking systems to collect bugs for software improvement. Users submit bugs through …
issue tracking systems to collect bugs for software improvement. Users submit bugs through …
Automated classification of software issue reports using machine learning techniques: an empirical study
N Pandey, DK Sanyal, A Hudait, A Sen - Innovations in Systems and …, 2017 - Springer
Software developers, testers and customers routinely submit issue reports to software issue
trackers to record the problems they face in using a software. The issues are then directed to …
trackers to record the problems they face in using a software. The issues are then directed to …
Emotion based automated priority prediction for bug reports
Issue tracking systems allow users to report bugs. Bug reports often contain product name,
product component, description, and severity. Based on such information, triagers often …
product component, description, and severity. Based on such information, triagers often …
Capbug-a framework for automatic bug categorization and prioritization using nlp and machine learning algorithms
Bug reports facilitate software development teams in improving the quality of software.
These reports include significant information related to problems encountered within a …
These reports include significant information related to problems encountered within a …