Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach

Numerous feature selection (FS) techniques have been widely applied in Software Engineering (SE) to improve the predictive performance of machine learning (ML) models. However, the consistency of these FS techniques, i.e., their ability to select stable features under various data changes, remains u...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Empirical study software fault prediction eXplainable artificial intelligence feature consistency model agnostic techniques permutation feature importance
Online Access:	https://ieeexplore.ieee.org/document/10955380/