Work

Evolutionary Fault Localization Based on the Diversity of Suspiciousness Values

Year: 2025

Type: conference-paper

Abstract: Context.Fault localization (FL) is a software lifecycle activity and its automation is a challenge for researchers and practitioners.Method.The study focuses on evolutionary fault localization and introduces a novel Genetic Programming (GP) approach that evolves FL heuristics based on the diversity of the suspiciousness score of program statements -a score to grade how faulty a statement is.Experimental analysis.The approach was evaluated against baselines, which include the canonical GP, in benchmarks with real programs and real faults.Conclusion.The results showed the competitiveness of the approach through evaluation metrics commonly used in the research field.

Source: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)

DOI: 10.14428/esann/2025.es2025-124

Authors: Willian Ferreira, Plinio S. Leitao-Junior, Deuslirio Silva-Junior, Rachel Harrison

Institutions: Universidade Federal de Goiás, Oxford Brookes University

Language: English

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4409480266

FWCI: 0.804

Cites:

Cited by: 1

Related to: 10