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 …

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 …

[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] Predicting software defects using machine learning techniques

MAI Aquil, WHW Ishak - International Journal, 2020 - wanhussain.com
ABSTRACT A huge variety of software systems are relied upon in such domains as aviation,
healthcare, manufacturing and robotics, and therefore, h systems and that they are reliable …

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 …

[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 …

Software defect prediction techniques using metrics based on neural network classifier

R Jayanthi, L Florence - Cluster Computing, 2019 - Springer
Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …

A comparison framework of classification models for software defect prediction

RS Wahono, NS Herman… - Advanced Science Letters, 2014 - ingentaconnect.com
Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …

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 …