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Causality Analysis and Fault Ascription in Component-Based Systems

Gregor Gössler 1 Jean-Bernard Stefani 1
1 SPADES [2016-2019] - Sound Programming of Adaptive Dependable Embedded Systems [2016-2019]
Inria Grenoble - Rhône-Alpes, LIG [2016-2019] - Laboratoire d'Informatique de Grenoble [2016-2019]
Abstract : This article introduces a general framework for fault ascription, which consists in identifying, within a multi-component system, the components whose faulty behavior has caused the failure of said system. Our framework uses configuration structures as a general semantical model to handle truly concurrent executions, partial and distributed observations in a uniform way. We define a set of expected properties for counterfactual analysis, and present a refined analysis that conforms to our requirements. This contrasts with current practice of evaluating definitions of counterfactual causality a posteriori on a set of toy examples. As an early study of the behavior of our analysis under abstraction we establish its monotony under refinement.
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Contributor : Gregor Gössler <>
Submitted on : Friday, December 6, 2019 - 11:33:48 AM
Last modification on : Monday, September 28, 2020 - 5:32:02 PM


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  • HAL Id : hal-02161534, version 2



Gregor Gössler, Jean-Bernard Stefani. Causality Analysis and Fault Ascription in Component-Based Systems. [Research Report] RR-9279, Inria - Research Centre Grenoble – Rhône-Alpes. 2019, pp.1-27. ⟨hal-02161534v2⟩



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