[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 …

[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 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 …

[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] 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 …

[PDF][PDF] Hybrid ensemble learning technique for software defect prediction

MZ Khan - International Journal of Modern Education & Computer …, 2020 - mecs-press.net
The reliability of software depends on its ability to function without error. Unfortunately, errors
can be generated during any phase of software development. In the field of software …

[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 …

Software defect prediction using ensemble learning: A systematic literature review

F Matloob, TM Ghazal, N Taleb, S Aftab… - IEEE …, 2021 - ieeexplore.ieee.org
Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …

Ensemble machine learning paradigms in software defect prediction

T Sharma, A Jatain, S Bhaskar, K Pabreja - Procedia Computer Science, 2023 - Elsevier
Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …

Voting based ensemble classification for software defect prediction

RJ Jacob, RJ Kamat, NM Sahithya… - 2021 IEEE Mysore …, 2021 - ieeexplore.ieee.org
Fault Prediction procedures are meant to help focus on software testing and troubleshooting;
they can caution developers on programming segments that appear to be defective. Here, a …