Software defect prediction using ensemble learning: A systematic literature review

F Matloob, TM Ghazal, N Taleb, S Aftab… - IEEe …, 2021 - ieeexplore.ieee.org
Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …

Software defect prediction using tree-based ensembles

H Aljamaan, A Alazba - Proceedings of the 16th ACM international …, 2020 - dl.acm.org
Software defect prediction is an active research area in software engineering. Accurate
prediction of software defects assists software engineers in guiding software quality …

[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction

A Iqbal, S Aftab, I Ullah, MS Bashir… - International Journal of …, 2019 - mecs-press.org
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

[PDF][PDF] Software defect prediction using ensemble learning: an ANP based evaluation method

AO Balogun, AO Bajeh, VA Orie… - FUOYE J. Eng …, 2018 - academia.edu
Software defect prediction (SDP) is the process of predicting defects in software modules, it
identifies the modules that are defective and require extensive testing. Classification …

[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study

A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …

[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques

U Ali, S Aftab, A Iqbal, Z Nawaz, MS Bashir… - International Journal of …, 2020 - mecs-press.org
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

Software defect prediction using ensemble learning on selected features

IH Laradji, M Alshayeb, L Ghouti - Information and Software Technology, 2015 - Elsevier
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …

[HTML][HTML] Software defect prediction analysis using machine learning techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

An empirical study of ensemble techniques for software fault prediction

SS Rathore, S Kumar - Applied Intelligence, 2021 - Springer
Previously, many researchers have performed analysis of various techniques for the
software fault prediction (SFP). Oddly, the majority of such studies have shown the limited …

[PDF][PDF] A systematic literature review of software defect prediction

RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …