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 …

Investigating the use of deep neural networks for software defect prediction

M Samir, M El-Ramly, A Kamel - 2019 IEEE/ACS 16th …, 2019 - ieeexplore.ieee.org
Many software projects are shipped to customers containing defects. Defective software cost
money, time, and lives. To reduce this harm, software companies allocate testing and quality …

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 …

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 …

Software defect prediction using convolutional neural network

K Wongpheng, P Visutsak - 2020 35th International Technical …, 2020 - ieeexplore.ieee.org
The crucial part in software development lifecycle is finding the software faults. Detecting the
faults in an early stage of software lifecycle can prevent the susceptibility and cost overruns …

Software defect prediction based on machine learning algorithms

Z Tian, J Xiang, S Zhenxiao, Z Yi… - 2019 IEEE 5th …, 2019 - ieeexplore.ieee.org
Software defect prediction is very important in software engineering. It uses the defects
found in historical software modules to predict defects in new software modules, and …

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 …

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 …

Software defect prediction: an ensemble learning approach

Z Yang, C Jin, Y Zhang, J Wang… - Journal of Physics …, 2022 - iopscience.iop.org
Software defect prediction plays an increasingly critical role in emerging software systems.
However, existing software defect prediction approaches typically suffer from low accuracy …

[PDF][PDF] Software defect prediction using deep learning

M Nevendra, P Singh - Acta Polytechnica Hungarica, 2021 - researchgate.net
An increasing number of defects in software, damages the quality and reliability of that
software. The detection of defective instances is becoming increasingly important, and …