Machine learning empowered software defect prediction system

MS Daoud, S Aftab, M Ahmad, MA Khan, A Iqbal… - 2022 - digitallibrary.aau.ac.ae
Production of high-quality software at lower cost has always been the main concern of
developers. However, due to exponential increases in size and complexity, the development …

[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 …

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 …

[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 …

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: 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] 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 …

A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

I Mehmood, S Shahid, H Hussain, I Khan… - IEEE …, 2023 - ieeexplore.ieee.org
In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …

[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 …

Hybrid approach for software defect prediction using machine learning with optimization technique

C Manjula, L Florence - International Journal of Computer …, 2018 - publications.waset.org
Software technology is developing rapidly which leads to the growth of various industries.
Now-a-days, software-based applications have been adopted widely for business purposes …