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 …

Ensemble of software defect predictors: an AHP-based evaluation method

Y Peng, G Kou, G Wang, W Wu, Y Shi - International Journal of …, 2011 - World Scientific
Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …

[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] 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 …

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 …

[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study

A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …

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 …

[PDF][PDF] A systematic literature review of software defect prediction

RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

[PDF][PDF] Software defect prediction using ensemble learning: an ANP based evaluation method

AO Balogun, AO Bajeh, VA Orie… - FUOYE J. Eng …, 2018 - academia.edu
Software defect prediction (SDP) is the process of predicting defects in software modules, it
identifies the modules that are defective and require extensive testing. Classification …