Evaluating the Predictive Power of Software Metrics for Fault Localization

Fault localization remains a critical challenge in software engineering, directly impacting debugging efficiency and software quality. This study investigates the predictive power of various software metrics for fault localization by framing the task as a multi-class classification problem and evalu...

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Bibliografiske detaljer
Main Authors: Issar Arab, Kenneth Magel, Mohammed Akour
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-06-01
Serier:Computers
Fag:
fault localization
software quality assurance
machine learning
software metrics
test coverage
automated debugging
Online adgang:https://www.mdpi.com/2073-431X/14/6/222
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