[HTML][HTML] Ensemble learning based software defect prediction

X Dong, Y Liang, S Miyamoto, S Yamaguchi - Journal of Engineering …, 2023 - Elsevier
Currently, the cost to detect and solve software defects is a heavy burden on software
projects. So, it is significant to predict software defects at the earlier stages of the software …

[HTML][HTML] Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

[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 …

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 …

A novel multiple ensemble learning models based on different datasets for software defect prediction

A Nawaz, AU Rehman, M Abbas - arXiv preprint arXiv:2008.13114, 2020 - arxiv.org
Software testing is one of the important ways to ensure the quality of software. It is found that
testing cost more than 50% of overall project cost. Effective and efficient software testing …

A review on machine learning techniques for software defect prediction

F Hassan, S Farhan, MA Fahiem, H Tauseef - Technical Journal, 2018 - tj.uettaxila.edu.pk
Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …

Software defect prediction based on ensemble learning

R Li, L Zhou, S Zhang, H Liu, X Huang… - Proceedings of the 2019 …, 2019 - dl.acm.org
Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …

An ensemble learning approach for software defect prediction in developing quality software product

YK Saheed, O Longe, UA Baba, S Rakshit… - Advances in Computing …, 2021 - Springer
Abstract Software Defect Prediction (SDP) is a major research field in the software
development life cycle. The accurate SDP would assist software developers and engineers …

Software Defect Prediction Using an Intelligent Ensemble-Based Model

M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

A Systematic Approach for Enhancing Software Defect Prediction Using Machine Learning

SM Rifat, AU Bhuyain, MS Hossain… - … Conference on Next …, 2023 - ieeexplore.ieee.org
In the modern world of software development, ensuring reliability and performance is of
paramount importance. However, despite the best efforts from the developers, software …