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A novel approach to improve software defect prediction accuracy using machine learning
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 …
software's success, it is essential to reduce the software engineering and data-mining gap …
Predicting defect of software system
Any particular study on software quality with all desirable attributes of software products can
be treated as complete and perfect provided it is defective. Defects continue to be an …
be treated as complete and perfect provided it is defective. Defects continue to be an …
Cost‐sensitive radial basis function neural network classifier for software defect prediction
P Kumudha, R Venkatesan - The Scientific World Journal, 2016 - Wiley Online Library
Effective prediction of software modules, those that are prone to defects, will enable software
developers to achieve efficient allocation of resources and to concentrate on quality …
developers to achieve efficient allocation of resources and to concentrate on quality …
[PDF][PDF] A review on software defect prediction
HS Shukla, DK Verma - International Journal of Advanced …, 2015 - researchgate.net
Today software has become the key element in every environment. Quality of a software
product is correlated with the number of defects as well as it is limited by time and cost …
product is correlated with the number of defects as well as it is limited by time and cost …
A PSO-GA approach targeting fault-prone software modules
We present an algorithm to classify software modules as fault-prone or not using object-
oriented metrics. Our algorithm is a combination of particle swarm intelligence and genetic …
oriented metrics. Our algorithm is a combination of particle swarm intelligence and genetic …
Utilizing deep architecture networks of VAE in software fault prediction
Y Sun, L Xu, Y Li, L Guo, Z Ma… - 2018 IEEE Intl Conf on …, 2018 - ieeexplore.ieee.org
No matter how experienced the programmers are, it is very hard for them to avoid software
fault in software projects. How to predict fault in order to reduce risk and enhance the …
fault in software projects. How to predict fault in order to reduce risk and enhance the …
Correlation-based modified long short-term memory network approach for software defect prediction
Develo** software applications has become more perplexing nowadays due to the huge
usage of software applications. Under such circumstances, develo** software without …
usage of software applications. Under such circumstances, develo** software without …
[PDF][PDF] Dynamic detection of software defects using supervised learning techniques
A Al-Nusirat, F Hanandeh, M Kharabsheh… - International Journal of …, 2019 - academia.edu
In software testing, automatic detection of faults and defects in software is both complex and
important. There are different techniques utilized to predict future defects. Machine learning …
important. There are different techniques utilized to predict future defects. Machine learning …
Multi-layer perceptron neural network with feature selection for software defect prediction
JM Catherine, S Djodilatchoumy - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Software is continuously evolving and hence it is essential for the production of quality and
stable software by every software provider. Recently there is a paradigm shift in how …
stable software by every software provider. Recently there is a paradigm shift in how …
Software defect prediction using genetic programming and neural networks
This article describes how classification methods on software defect prediction is widely
researched due to the need to increase the software quality and decrease testing efforts …
researched due to the need to increase the software quality and decrease testing efforts …