[HTML][HTML] An automated software failure prediction technique using hybrid machine learning algorithms

R Chennappan - Journal of Engineering Research, 2023 - Elsevier
Many sophisticated applications have been emerged in various industries due to the rapid
growth of software technologies. Especially, the business organizations utilize the services …

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 …

Wrapper feature selection based heterogeneous classifiers for software defect prediction

A Ekundayo - Adeleke University Journal of …, 2019 - aujet.adelekeuniversity.edu.ng
Abstract The performance of Software Defect Prediction (SDP) models depends on the
quality of dataset used for training the models. The high dimensionality of software metric …

Software defect prediction using machine learning techniques

CL Prabha, N Shivakumar - 2020 4th International Conference …, 2020 - ieeexplore.ieee.org
Software defect prediction provides development groups with observable outcomes while
contributing to industrial results and development faults predicting defective code areas can …

Hybrid approach for software defect prediction using machine learning with optimization technique

C Manjula, L Florence - International Journal of Computer …, 2018 - publications.waset.org
Software technology is developing rapidly which leads to the growth of various industries.
Now-a-days, software-based applications have been adopted widely for business purposes …

[引用][C] Overview of software defect prediction using machine learning algorithms

N Kalaivani, R Beena - International Journal of Pure and Applied Mathematics, 2018

[HTML][HTML] Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review

S Stradowski, L Madeyski - Information and Software Technology, 2023 - Elsevier
Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …

[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 …

[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques.

U Ali, S Aftab, A Iqbal, Z Nawaz, MS Bashir… - International Journal of …, 2020 - mecs-press.org
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

A feature selection model for prediction of software defects

A Kumar, Y Kumar, A Kukkar - International Journal of …, 2020 - inderscienceonline.com
Software is a collection of computer programs written in a programming language. Software
contains various modules which make it a complex entity and it can increase the defect …