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 …

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 …

[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 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 through neural network and feature selections

MS Alkhasawneh - Applied Computational Intelligence and Soft …, 2022 - Wiley Online Library
Software failure such as software defect causes billion of dollar loss every year. Software
failure also affects billion of people worldwide. Inadequate software testing can cause …

Software defect prediction via optimal trained convolutional neural network

S Balasubramaniam, SG Gollagi - Advances in Engineering Software, 2022 - Elsevier
By creating an effective prediction model, SDP helps to find the possible problems in recent
components of software earlier. The model's effectiveness was harmed by characteristics …

Deep learning based software defect prediction

L Qiao, X Li, Q Umer, P Guo - Neurocomputing, 2020 - Elsevier
Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …

[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 …

Deep neural network based hybrid approach for software defect prediction using software metrics

C Manjula, L Florence - Cluster Computing, 2019 - Springer
In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …

Neural network based software defect prediction using genetic algorithm and particle swarm optimization

SI Ayon - 2019 1st International Conference on Advances in …, 2019 - ieeexplore.ieee.org
In the arena of software engineering, software defects prediction is one of the most attractive
research topics. Here the main task is to predict if there is any bug in the software or not. For …