[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 …
Emerging topics in mining software repositories: Machine learning in software repositories and datasets
D Güemes-Peña, C López-Nozal… - Progress in Artificial …, 2018 - Springer
A software process is a set of related activities that culminates in the production of a software
package: specification, design, implementation, testing, evolution into new versions, and …
package: specification, design, implementation, testing, evolution into new versions, and …
Why are some bugs non-reproducible?:–an empirical investigation using data fusion–
Software developers attempt to reproduce software bugs to understand their erroneous
behaviours and to fix them. Unfortunately, they often fail to reproduce (or fix) them, which …
behaviours and to fix them. Unfortunately, they often fail to reproduce (or fix) them, which …
Empirical analysis of ensemble machine learning techniques for bug triaging
Bug reports are an inescapable part of the software product framework. Nowadays, software
advancements have led to the creation of beta versions of software in order to assemble the …
advancements have led to the creation of beta versions of software in order to assemble the …
Works for me! cannot reproduce–a large scale empirical study of non-reproducible bugs
Software developers attempt to reproduce software bugs to understand their erroneous
behaviours and to fix them. Unfortunately, they often fail to reproduce (or fix) them, which …
behaviours and to fix them. Unfortunately, they often fail to reproduce (or fix) them, which …
DENATURE: duplicate detection and type identification in open source bug repositories
Software projects reckon on the bug tracking systems to guide software maintenance
activities. The critical information about the nature of the crash is carried by the bug reports …
activities. The critical information about the nature of the crash is carried by the bug reports …
[PDF][PDF] Opinion Mining to Assist User Acceptance Testing for Open-Beta Versions.
Software Development and Web 2.0 has compelled researchers and practitioners to probe
the integration among these two distinct, evolving areas of study. Opinion mining as a …
the integration among these two distinct, evolving areas of study. Opinion mining as a …
An Extended Survey Concerning the Significance of Artificial Intelligence and Machine Learning Techniques for Bug Triage and Management
R Bocu, A Baicoianu, A Kerestely - IEEE Access, 2023 - ieeexplore.ieee.org
Bug reports are generated in large numbers during the software development processes in
the software industry. The manual processing of these issues is usually time consuming and …
the software industry. The manual processing of these issues is usually time consuming and …
NRPredictor: an ensemble learning and feature selection based approach for predicting the non-reproducible bugs
Software maintenance is essential and significant phase of software development life cycle.
In software projects, issue tracking systems are used to collect, categorise, and track filed …
In software projects, issue tracking systems are used to collect, categorise, and track filed …
Performance assessment of bug fixing process in open source repositories
Software bugs are inevitable. Large software projects often use bug tracking systems in
order to collect, organize and keep track of reported bugs. The primary objective of using …
order to collect, organize and keep track of reported bugs. The primary objective of using …