An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes

RR Panda, NK Nagwani - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
In order to improve software reliability and quality, the triager must assess the severity of the
software bug and allocate suitable resources on time. However, the triager faces many …

Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning

RR Panda, NK Nagwani - Knowledge and Information Systems, 2024 - Springer
In modern times, the software industry is more focused on the timely release of high-quality
software. Software bugs have a significant impact on software quality and reliability. To …

Deep mining of open source software bug repositories

A Hamdy, G Ezzat - International Journal of Computers and …, 2022 - Taylor & Francis
Large scale software projects adopt bug tracking systems such as Bugzilla and Jira to
manage the bugs' fixes and store their information. Mining bug repositories is essential to …

A Machine Learning Approach for Classifying the Default Bug Severity Level

A Aburakhia, M Alshayeb - Arabian Journal for Science and Engineering, 2024 - Springer
Bug reports (BRs) play a major role in the software maintenance process; they alert
developers about the bugs discovered by the end-users. Software applications utilize bug …

Latent dirichlet allocation (lda) based on automated bug severity prediction model

R Bibyan, S Anand, A Jaiswal - … of Data Analytics and Management: ICDAM …, 2022 - Springer
The software systems prevail various types of bugs reported by users. On the basis of
severity levels of bugs, it is decided which bug needs to be fixed first. If the bug is crucial …

A survey of the use of test report in crowdsourced testing

S Huang, H Chen, Z Hui, Y Liu - 2020 IEEE 20th International …, 2020 - ieeexplore.ieee.org
With the rise of crowdsourced software testing in recent years, the issuers of crowd test tasks
can usually collect a large number of test reports after the end of the task. These reports …

Adaptive weighted sum bi-objective bat for regression testing optimization

NR Fisal, A Hamdy, EA Rashed - International Conference on Remote …, 2022 - Springer
Regression testing is a type of testing carried out during the software maintenance phase, to
confirm the validity of a software system after any modifications. However, regression testing …

Search-based regression testing optimization

NR Fisal, A Hamdy, EA Rashed - International Journal of Open …, 2021 - igi-global.com
Regression testing is one of the essential activities during the maintenance phase of
software projects. It is executed to ensure the validity of an altered software. However, as the …

Multi-Feature approach for Bug severity assignment

A Hamdy, A Ellaithy - International Journal of Open Source Software …, 2020 - igi-global.com
When bug reports are submitted through bug tracking systems, they are analysed manually
to identify their severity levels. A severity level specifies the negative impact of a bug on a …

Predicting bug-fixing time using the latent Dirichlet allocation model with covariates

P Ardimento, N Boffoli - International Conference on Evaluation of Novel …, 2022 - Springer
The expected bug-fixing resolution time is one of the most important factors in bug triage, as
an accurate prediction of bug-fixing times of newly submitted bugs helps to support both …