Software Defect Prediction Using Machine Learning-A Systematic Literature Review

Y Chengxiao, J Owais, A Ahmed… - … on Wavelet Active …, 2023 - ieeexplore.ieee.org
The most expressive attribute for defining successful software is its quality, which can only
be attained when the chances of a defect occurrence are doubtful. Software defect …

Using Ensemble of Different Classifiers for Defect Prediction

R Malhotra, A Kumar, M Gupta - International Conference on Information …, 2023 - Springer
One of the most important characteristics of a software is its quality. Software defects are
more likely to occur when software designs become more complicated in response to rising …

Current Software Defect Prediction: A Systematic Review

YZ Bala, PA Samat, KY Sharif… - 2022 Applied Informatics …, 2022 - ieeexplore.ieee.org
detecting defect in a software product prior to testing reduces the cost of testing and improve
the quality of the software product. Various methods for enhancing the accuracy of defect …

Cross Project Software Defect Prediction Using Machine Learning: A Review

MS Saeed, M Saleem - … Journal of Computational and Innovative Sciences, 2023 - ijcis.com
Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

A survey of software defect prediction based on deep learning

M Nevendra, P Singh - Archives of Computational Methods in Engineering, 2022 - Springer
Software defect prediction (SDP) is a procedure to develop a model that can be utilized by
software practitioners and researchers in the initial phases of the software development life …

An Optimized Deep Learning Method for Software Defect Prediction Using Whale optimization Algorithm (WOA): A Review

AA Aihong, BI Ya'u, U Ali… - ATBU Journal of Science …, 2023 - atbuftejoste.com.ng
Software defect pose significant challenges in the development and maintenance of
software systems, leading to increased costs and potential quality issues. In this research …

Comparing Software Defect Prediction Models: Research Problem, Progress, and Challenges

刘旭同, 郭肇强, 刘释然, 张鹏, 卢红敏, 周毓明 - Journal of Software, 2022 - jos.org.cn
近年来, 研究者提出了大量的软件缺陷预测模型, 新模型往往通过与过往模型进行比较实验来
表明其有效性. 然而, 研究者在设计新旧模型间的比较实验时并没有达成共识 …

Convolutional Neural Network-Based Research on Software Engineering Defect Prediction

X Qiu, P Fan, J Ren - Proceedings of the 6th International Conference on …, 2023 - dl.acm.org
Defect prediction plays a crucial role in software engineering by identifying potential issues
before they manifest as costly problems. In this research, we focus on enhancing defect …

[PDF][PDF] Software defect prediction using a high performance neural network

MM Askari, VK Bardsiri - … Journal of Software Engineering and Its …, 2014 - researchgate.net
Predicting the existing defects in software products is one of the considerable issues in
software engineering that contributes a lot toward saving time in software production and …

[PDF][PDF] SOFTWARE DEFECT PREDICTION TECHNIQUES IN SOFTWARE ENGINEERING: A REVIEW

AAG AL-KHULAIDI, AA ABDU, AA NASSER, HA ABDU… - academia.edu
Defect prediction is one of the significant challenges in the software development lifecycle
for improving software quality and reducing program testing time and cost. Developing a …