[PDF][PDF] Metaheuristic optimization based feature selection for software defect prediction.

RS Wahono, N Suryana, S Ahmad - J. Softw., 2014 - researchgate.net
Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …

[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] 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 …

Genetic feature selection for software defect prediction

RS Wahono, NS Herman - Advanced Science Letters, 2014 - ingentaconnect.com
Recently, software defect prediction is an important research topic in the software
engineering field. The accurate prediction of defect prone software modules can help the …

[PDF][PDF] Improved random forest algorithm for software defect prediction through data mining techniques

SG Jacob - International Journal of Computer Applications, 2015 - Citeseer
Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …

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 …

Software defect prediction: effect of feature selection and ensemble methods

MA Mabayoje, AO Balogun, AO Bajeh, BA Musa - 2018 - uilspace.unilorin.edu.ng
Software defect prediction is the process of locating defective modules in software. It
facilitates testing efficiency and consequently software quality. It enables a timely …

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 …

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

AO Balogun, AO Bajeh, VA Orie, WA Yusuf-Asaju - 2018 - uilspace.unilorin.edu.ng
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 …

Majority vote feature selection algorithm in software fault prediction

E Borandag, A Ozcift, D Kilinc… - Computer Science and …, 2019 - doiserbia.nb.rs
Identification and location of defects in software projects is an important task to improve
software quality and to reduce software test effort estimation cost. In software fault prediction …