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A Multiple Fault Localization Approach based on Multicriteria Analytical Hierarchy Process

Noureddine Aribi 1 Nadjib Lazaar 2 Yahia Lebbah 1 Samir Loudni 3 Mehdi Maamar 1
2 COCONUT - Agents, Apprentissage, Contraintes
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 Equipe CODAG - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : Fault localization problem is one of the most difficult processes in software debugging. Several spectrum-based ranking metrics have been proposed and none is shown to be empirically optimal. In this paper, we consider the fault localization problem as a multicriteria decision making problem. The proposed approach tackles the different metrics by aggregating them into a single metric using a weighted linear formulation. A learning step is used to maintain the right expected weights of criteria. This approach is based on Analytic Hierarchy Process (AHP), where a ranking is given to a statement in terms of suspiciousness according to a comparison of ranks given by the different metrics. Experiments performed on standard benchmark programs show that our approach enables to propose a more precise localization than existing spectrum-based metrics.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-02089746
Contributor : Nadjib Lazaar <>
Submitted on : Thursday, April 4, 2019 - 10:16:20 AM
Last modification on : Monday, July 27, 2020 - 10:32:02 AM
Long-term archiving on: : Friday, July 5, 2019 - 12:51:13 PM

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Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah, Samir Loudni, Mehdi Maamar. A Multiple Fault Localization Approach based on Multicriteria Analytical Hierarchy Process. AiTest: Artificial Intelligence Testing, Apr 2019, San Francisco, United States. pp.1-8, ⟨10.1109/AITest.2019.00-16⟩. ⟨lirmm-02089746⟩

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