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 …

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 based on elman neural network and cuckoo search algorithm

K Song, SK Lv, D Hu, P He - Mathematical Problems in …, 2021 - Wiley Online Library
In software engineering, defect prediction is significantly important and challenging. The
main task is to predict the defect proneness of the modules. It helps developers find bugs …

Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model

A Abdu, Z Zhai, HA Abdo, R Algabri, MA Al-Masni… - Scientific Reports, 2024 - nature.com
Software defect prediction aims to find a reliable method for predicting defects in a particular
software project and assisting software engineers in allocating limited resources to release …

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 …

An Ensemble Model for Software Defect Prediction

AR Ali, AU Rehman, A Nawaz, TM Ali… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Software testing is one of the important ways to ensure the quality of software. It is found that
testing cost more than 50% of overall project cost. Effective and efficient software testing …

[PDF][PDF] A feature selection based model for software defect prediction

S Agarwal, D Tomar - assessment, 2014 - researchgate.net
Software is a complex entity composed in various modules with varied range of defect
occurrence possibility. Efficient and timely prediction of defect occurrence in software allows …

Software defect prediction: A comparison between artificial neural network and support vector machine

I Arora, A Saha - … and Communication Technologies: Proceedings of the …, 2018 - Springer
Software industry has stipulated the need for good quality software projects to be delivered
on time and within budget. Software defect prediction (SDP) has led to the application of …

A software defect prediction method with metric compensation based on feature selection and transfer learning

J Chen, X Wang, S Cai, J Xu, J Chen… - Frontiers of Information …, 2022 - Springer
Cross-project software defect prediction solves the problem of insufficient training data for
traditional defect prediction, and overcomes the challenge of applying models learned from …

Software defect prediction based on machine learning and deep learning

P Tadapaneni, NC Nadella, M Divyanjali… - 2022 International …, 2022 - ieeexplore.ieee.org
Software system quality can be enhanced by reducing the possible software defects in the
system, this can be achieved by regular monitoring of the system for any defect alerts …