Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning

M Mafarja, T Thaher, MA Al-Betar, J Too… - Applied …, 2023 - Springer
Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …

Software defect prediction using heterogeneous ensemble classification based on segmented patterns

H Alsawalqah, N Hijazi, M Eshtay, H Faris… - Applied Sciences, 2020 - mdpi.com
Software defect prediction is a promising approach aiming to improve software quality and
testing efficiency by providing timely identification of defect-prone software modules before …

Software fault prediction using deep learning algorithms

O Al Qasem, M Akour - … Journal of Open Source Software and …, 2019 - igi-global.com
Software faults prediction (SFP) processes can be used for detecting faulty constructs at
early stages of the development lifecycle, in addition to its being used in several phases of …

A hybrid nonlinear manifold detection approach for software defect prediction

S Ghosh, A Rana, V Kansal - 2018 7th International …, 2018 - ieeexplore.ieee.org
Rapid development of software technology has influence on substantial industrial growth.
Wide application of software in business related matters leads to development of reliable …

[PDF][PDF] An optimized feature selection using fuzzy mutual information based ant colony optimization for software defect prediction

G Manivasagam, R Gunasundari - Int J Eng Technol, 2018 - researchgate.net
In recent years, there is a significant notification focused towards the prediction of software
defect in the field of software engineering. The prediction of software defects assist in …