Impact of feature selection on classification via clustering techniques in software defect prediction

FE Usman-Hamza, AF Atte, AO Balogun… - Journal of Computer …, 2019 - ajol.info
Software testing using software defect prediction aims to detect as many defects as possible
in software before the software release. This plays an important role in ensuring quality and …

[PDF][PDF] Performance analysis of selected clustering techniques for software defects prediction

A Balogun, R Oladele, H Mojeed… - Afr. J. Comput …, 2019 - academia.edu
Classification algorithms that help to predict software defects play a major role in the
software engineering process. This study investigated the application and performance of …

[PDF][PDF] Software defect prediction: effect of feature selection and ensemble methods

MA Mabayoje, AO Balogun, AO Bajeh… - FUW Trends in Science …, 2018 - academia.edu
Software defect prediction is the process of locating defective modules in software. It
facilitates testing efficiency and consequently software quality. It enables a timely …

[PDF][PDF] A Framework for Software Defect Prediction Using Feature Selection and Ensemble Learning Techniques.

F Matloob, S Aftab, A Iqbal - International Journal of Modern …, 2019 - researchgate.net
Testing is one of the crucial activities of software development life cycle which ensures the
delivery of high quality product. As software testing consumes significant amount of …

[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction

A Iqbal, S Aftab, I Ullah, MS Bashir… - International Journal of …, 2019 - mecs-press.org
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

A comparison framework of classification models for software defect prediction

RS Wahono, NS Herman… - Advanced Science Letters, 2014 - ingentaconnect.com
Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …

Feature selection and software defect prediction by different ensemble classifiers

N Shakhovska, V Yakovyna - … , DEXA 2021, Virtual Event, September 27 …, 2021 - Springer
Software defect prediction can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …

[PDF][PDF] Combining particle swarm optimization based feature selection and bagging technique for software defect prediction

RS Wahono, N Suryana - … Journal of Software Engineering and Its …, 2013 - academia.edu
The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …

Towards predicting software defects with clustering techniques

W Almayyan - International Journal of Artificial Intelligence and …, 2021 - papers.ssrn.com
The purpose of software defect prediction is to improve the quality of a software project by
building a predictive model to decide whether a software module is or is not fault prone. In …

[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 …