A comparison of semi-supervised classification approaches for software defect prediction

C Catal - Journal of Intelligent Systems, 2014 - degruyter.com
Predicting the defect-prone modules when the previous defect labels of modules are limited
is a challenging problem encountered in the software industry. Supervised classification …

[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 …

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 …

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 …

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 …

Non‐negative sparse‐based SemiBoost for software defect prediction

T Wang, Z Zhang, X Jing, Y Liu - Software Testing, Verification …, 2016 - Wiley Online Library
Software defect prediction is an important decision support activity in software quality
assurance. The limitation of the labelled modules usually makes the prediction difficult, and …

[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 …

Software defect prediction based on nested-stacking and heterogeneous feature selection

L Chen, C Wang, S Song - Complex & Intelligent Systems, 2022 - Springer
Software testing guarantees the delivery of high-quality software products, and software
defect prediction (SDP) has become an important part of software testing. Software defect …

[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] Semi-supervised software defect prediction model based on tri-training.

F Meng, W Cheng, J Wang - KSII Transactions on Internet & Information …, 2021 - itiis.org
Aiming at the problem of software defect prediction difficulty caused by insufficient software
defect marker samples and unbalanced classification, a semi-supervised software defect …