A Causality Analysis Framework for Component-Based Real-Time Systems

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CPS Medical
CPS Model-Based Design
CPS Formal Methods
Computer Engineering
Computer Sciences
Logic and Foundations
Programming Languages and Compilers
Software Engineering
Theory and Algorithms

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Abstract

We propose an approach to enhance the fault diagnosis in black-box component-based systems, in which only events on component interfaces are observable, and assume that causal dependencies between component interface events within components are not known. For such systems, we describe a causality analysis framework that helps us establish the causal relationship between component failures and system failures, given an observed system execution trace. The analysis is based on a formalization of counterfactual reasoning, and applicable to real-time systems. We illustrate the analysis with a case study from the medical device domain.

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2013-09-01

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2023-05-17T12:37:42.000

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4th International Conference on Runtime Verification (RV '13), INRIA Rennes, France, September 24-27, 2013. http://rv2013.gforge.inria.fr/index.html

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@incollection{ year={2013}, isbn={978-3-642-40786-4}, booktitle={Runtime Verification}, volume={8174}, series={Lecture Notes in Computer Science}, editor={Legay, Axel and Bensalem, Saddek}, doi={10.1007/978-3-642-40787-1_17}, title={A Causality Analysis Framework for Component-Based Real-Time Systems}, url={http://dx.doi.org/10.1007/978-3-642-40787-1_17}, publisher={Springer Berlin Heidelberg}, author={Wang, Shaohui and Ayoub, Anaheed and Kim, BaekGyu and Gössler, Gregor and Sokolsky, Oleg and Lee, Insup}, pages={285-303}, language={English} }

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