Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

Mutation‐based data augmentation for software defect prediction

R Mao, L Zhang, X Zhang - Journal of Software: Evolution and …, 2024 - Wiley Online Library
Software defect prediction (SDP) aims to distinguish between defective and nondefective
instances, but the imbalance between these two classes often leads to reduced prediction …

Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier

M Azzeh, AB Nassif, MA Talib… - e-Informatica Software …, 2024 - yadda.icm.edu.pl
Background: Software Defect Prediction (SDP) is a vital step in software development. SDP
aims to identify the most likely defect-prone modules before starting the testing phase, and it …

Software Fault Prediction Using FeatBoost Feature Selection Algorithm

S Medicharla, S Kumar, P Devarakonda… - Procedia Computer …, 2024 - Elsevier
A critical aspect of software engineering is Software fault prediction which aims to identify
and prevent errors in software systems before their release which can cause failures or …

Comparative analysis of Software Reliability using Grey Wolf Optimisation and Machine Learning

S Kelkar, SP Vishvasrao, A Agarwal… - … in Technology and …, 2024 - ieeexplore.ieee.org
Software reliability is a crucial aspect of software quality. In this paper, we aim to explore the
application of Gray Wolf Optimization (GWO) for feature selection and classification on …