CNN-Based Deep Learning Approach for Prioritization of Bug Reports

P Dharmakeerthi, R Rupasingha… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Software bugs are one of the most common types of defects in software products. A bug is
an error or defect in a computer program that prevents it from functioning as intended. Bug …

Automatic bug priority prediction using DNN based regression

W Zhang, C Challis - Advances in Natural Computation, Fuzzy Systems …, 2020 - Springer
Bugs are inevitable during software development. It is important to prioritize bugs and fix
them based on their priorities. The priority assignment is usually done manually. Besides the …

[PDF][PDF] A deep-learning-based bug priority prediction using RNN-LSTM neural networks

H Bani-Salameh, M Sallam… - e-Informatica Software …, 2021 - bibliotekanauki.pl
Context: Predicting the priority of bug reports is an important activity in software
maintenance. Bug priority refers to the order in which a bug or defect should be resolved. A …

A Hierarchical Attention Networks based Model for Bug Report Prioritization

A Yadav, SS Rathore - Proceedings of the 17th Innovations in Software …, 2024 - dl.acm.org
Software is becoming increasingly complex, leading to a surge in bugs. Bug reports typically
contain essential details for bug reproduction and resolution. Currently, a triage engineer …

A study on machine learning applied to software bug priority prediction

R Malhotra, A Dabas… - … conference on cloud …, 2021 - ieeexplore.ieee.org
Bugs are among the top problems faced by software developers. As the size and complexity
of software projects increase so does the number of bugs and their complexity. Bug priority …

CNN-Based Priority Prediction of Bug Reports

R Rathnayake, B Kumara… - … Conference on Decision …, 2021 - ieeexplore.ieee.org
When considering software maintenance, priority prediction is an essential part of it.
Thousands of bugs are reported daily in the Bug Tracking System (BTS); Bugzilla, JIRA, and …

Bug severity prediction algorithm using topic-based feature selection and CNN-LSTM algorithm

J Kim, G Yang - IEEE Access, 2022 - ieeexplore.ieee.org
Increasing software usage has gradually increased the occurrence of bugs. When writing a
bug report, the severity of the bug can be freely selected, so the subjective judgment of the …

Using word embedding and convolution neural network for bug triaging by considering design flaws

R Sepahvand, R Akbari, B Jamasb, S Hashemi… - Science of Computer …, 2023 - Elsevier
Resolving bugs in the maintenance phase of software is a complicated task. Bug
assignment is one of the main tasks for resolving bugs. Some Bugs cannot be fixed properly …

[PDF][PDF] An Exploratory Study of Bug Prioritization and Severity Prediction based on Source Code Features.

CY Zhou, C Zeng, P He - SEKE, 2022 - ksiresearch.org
Software systems generate a large number of bugs during their lifecycles. Managing and
assigning these bug reports is a challenging task. Building prediction models for the priority …

CNN-based automatic prioritization of bug reports

Q Umer, H Liu, I Illahi - IEEE Transactions on Reliability, 2019 - ieeexplore.ieee.org
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 …