Software defect prediction analysis using machine learning techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

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 …

Comparative analysis of selected heterogeneous classifiers for software defects prediction using filter-based feature selection methods

AG Akintola, AO Balogun, F Lafenwa-Balogun… - 2018 - uilspace.unilorin.edu.ng
Classification techniques is a popular approach to predict software defects and it involves
categorizing modules, which is represented by a set of metrics or code attributes into fault …

Prediction of software fault-prone classes using ensemble random forest with adaptive synthetic sampling algorithm

A Balaram, S Vasundra - Automated Software Engineering, 2022 - Springer
The process of predicting fault module in software is known as Software Fault Prediction
(SFP) which is important for releasing software versions that are dependent on the …

Ensembles based combined learning for improved software fault prediction: A comparative study

CW Yohannese, T Li, M Simfukwe… - … on intelligent systems …, 2017 - ieeexplore.ieee.org
Software Fault Prediction (SFP) research has made enormous endeavor to accurately
predict fault proneness of software modules to maximize precious software test resources …

[PDF][PDF] Combining particle swarm optimization based feature selection and bagging technique for software defect prediction

RS Wahono, N Suryana - … Journal of Software Engineering and Its …, 2013 - academia.edu
The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …

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 …

Survey on software defect prediction techniques

MK Thota, FH Shajin, P Rajesh - International Journal of Applied …, 2020 - gigvvy.com
Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …

[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 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 …