A study on software defect prediction using feature extraction techniques

R Malhotra, K Khan - 2020 8th International Conference on …, 2020 - ieeexplore.ieee.org
Identification and elimination of defects in software is time and resource-consuming activity.
The maintenance of a defective software system is burdensome. Software defect prediction …

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 …

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 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 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 …

[PDF][PDF] Software defect prediction using supervised machine learning techniques: A systematic literature review

F Matloob, S Aftab, M Ahmad… - … Automation & Soft …, 2021 - pdfs.semanticscholar.org
Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …

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 …

An efficient software defect prediction model using neuro evalution algorithm based on genetic algorithm

C Nalini, TM Krishna - 2020 Second International Conference …, 2020 - ieeexplore.ieee.org
The main aim of Software Defect Prediction (SDP) is to identify the defect prone in source
code, therefore to reduce the effort and time taken as well the cost incurred by it with …

A review on machine learning techniques for software defect prediction

F Hassan, S Farhan, MA Fahiem, H Tauseef - Technical Journal, 2018 - tj.uettaxila.edu.pk
Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …

Software defect prediction with naïve Bayes classifier

A Rahim, Z Hayat, M Abbas, A Rahim… - … on Applied Sciences …, 2021 - ieeexplore.ieee.org
The defect is an error state, which is not according to the requirement of the given software.
The error in the software system can affect the efficiency and reliability of the software …