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 …

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 …

A comparative analysis for machine learning based software defect prediction systems

M Cetiner, OK Sahingoz - 2020 11th International Conference …, 2020 - ieeexplore.ieee.org
In the Software Engineering concept, the prediction of the software defects plays a vital role
in increasing the quality of the software systems, which is one of the most critical and …

[HTML][HTML] 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 defect prediction using neural network based smote

RB Bahaweres, F Agustian, I Hermadi… - 2020 7th …, 2020 - ieeexplore.ieee.org
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The dataset of software …

The comparison of feature selection methods in software defect prediction

A Adorada, PW Wirawan… - 2020 4th International …, 2020 - ieeexplore.ieee.org
One of the goal in software testing is to discover software defects before the software is used
by customer. Successful software testing leads to high quality software. However, exposing …

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 …

[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 …

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 …

Software defect prediction using artificial neural networks: A systematic literature review

MA Khan, NS Elmitwally, S Abbas, S Aftab… - Scientific …, 2022 - Wiley Online Library
The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …