Predictive models in software engineering: Challenges and opportunities
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …
areas of software engineering. There have been a large number of primary studies that …
Predictive analytics and software defect severity: A systematic review and future directions
Software testing identifies defects in software products with varying multiplying effects based
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
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 …
Effective prediction of bug-fixing priority via weighted graph convolutional networks
With the increasing number of software bugs, bug fixing plays an important role in software
development and maintenance. To improve the efficiency of bug resolution, developers …
development and maintenance. To improve the efficiency of bug resolution, developers …
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 and allocate suitable resources on time. However, the triager faces many …
A survey on automated software vulnerability detection using machine learning and deep learning
Software vulnerability detection is critical in software security because it identifies potential
bugs in software systems, enabling immediate remediation and mitigation measures to be …
bugs in software systems, enabling immediate remediation and mitigation measures to be …
Method-level bug severity prediction using source code metrics and LLMs
E Mashhadi, H Ahmadvand… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
In the past couple of decades, significant research efforts are devoted to the prediction of
software bugs. However, most existing work in this domain treats all bugs the same, which is …
software bugs. However, most existing work in this domain treats all bugs the same, which is …
[HTML][HTML] Developing bug severity prediction models using word2vec
R Agrawal, R Goyal - International Journal of Cognitive Computing in …, 2021 - Elsevier
Bug tracking systems use repositories to keep track of the bugs to improve software quality.
A manual analysis of each bug and classifying it according to its severity is an …
A manual analysis of each bug and classifying it according to its severity is an …
Clebpi: Contrastive learning for bug priority inference
WY Wang, CH Wu, J He - Information and Software Technology, 2023 - Elsevier
Context: Automated bug priority inference (BPI) can reduce the time overhead of bug
triagers for priority assignments, improving the efficiency of software maintenance. Objective …
triagers for priority assignments, improving the efficiency of software maintenance. Objective …
Severity prediction for bug reports using multi-aspect features: a deep learning approach
AH Dao, CZ Yang - Mathematics, 2021 - mdpi.com
The severity of software bug reports plays an important role in maintaining software quality.
Many approaches have been proposed to predict the severity of bug reports using textual …
Many approaches have been proposed to predict the severity of bug reports using textual …