Software defect prediction analysis using machine learning techniques
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 …
customer satisfaction and to save testing expenses. As a result, we examined various known …
Software defects prediction using machine learning algorithms
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 …
possibility of having defects in the software can be high. Software reliability and performance …
A comparison framework of classification models for software defect prediction
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 modules can help direct test effort, reduce costs, and improve the quality of …
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 …
components of software earlier. The model's effectiveness was harmed by characteristics …
Deep learning based software defect prediction
Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …
make it very challengeable to prevent software defects. Therefore, automatically predicting …
Performance evaluation of software defect prediction with NASA dataset using machine learning techniques
T Siddiqui, M Mustaqeem - International Journal of Information …, 2023 - Springer
The software industry's growth and increasing complexity have made software maintenance
more challenging, with Software Defects (SD) being a significant contributor to quality …
more challenging, with Software Defects (SD) being a significant contributor to quality …
[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 …
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 …
such as data mining techniques, machine learning techniques. Still early prediction of …
[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 …
frameworks which allow software engineers to focus on development activities in terms 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 …
research topics. Here the main task is to predict if there is any bug in the software or not. For …