[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 …

[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 …

Comparative analysis of selected heterogeneous classifiers for software defects prediction using filter-based feature selection methods

AG Akintola, AO Balogun, F Lafenwa-Balogun… - 2018 - uilspace.unilorin.edu.ng
Classification techniques is a popular approach to predict software defects and it involves
categorizing modules, which is represented by a set of metrics or code attributes into fault …

[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 …

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 using supervised learning algorithm and unsupervised learning algorithm

A Chug, S Dhall - 2013 - IET
Software defect prediction has recently attracted attention of many software quality
researchers. One of the major areas in current project management software is to effectively …

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 …

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 …

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 …