Software Defect Prediction: A Comparative Analysis of Machine Learning Techniques

R Shrimankar, M Kuanr, J Piri… - … Conference on Machine …, 2022 - ieeexplore.ieee.org
The early prediction of defective modules in developing software can help the development
team to utilize the available resources efficiently to deliver high quality software product in …

[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets

A Iqbal, S Aftab, U Ali, Z Nawaz, L Sana… - … Journal of Advanced …, 2019 - researchgate.net
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …

[PDF][PDF] Software defect prediction using supervised machine learning techniques: A systematic literature review

F Matloob, S Aftab, M Ahmad… - … Automation & Soft …, 2021 - pdfs.semanticscholar.org
Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …

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 …

[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 …

Comparative Analysis of Machine Learning Technique to Improve Software Defect Prediction: Comparative Analysis of Machine Learning Technique to Improve …

M Azam, M Nouman, AR Gill - KIET Journal of Computing and …, 2022 - kjcis.kiet.edu.pk
One of the most active areas of research in the software engineering community is defect
prediction. The gap between data mining and software engineering must be bridged to …

Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction

V Gururaj, KR Umadi, M Kumar… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
The software development life cycle is a long and complicated process. It consists of
analysis, design, development, testing and deployment. Defect prediction is the technique of …

[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 …

Software defects prediction using machine learning algorithms

M Assim, Q Obeidat, M Hammad - … International conference on …, 2020 - ieeexplore.ieee.org
Software development and the maintenance life cycle are lengthy processes. However, the
possibility of having defects in the software can be high. Software reliability and performance …

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 …