Date of this Version
Shaohui Wang, Yoann Geoffroy, Gregor Gössler, Oleg Sokolsky, and Insup Lee, "A Hybrid Approach to Causality Analysis", , 250-265. September 2015. http://dx.doi.org/10.1007/978-3-319-23820-3_16
In component-based safety-critical systems, when a system safety property is violated, it is necessary to analyze which components are the cause. Given a system execution trace that exhibits component faults leading to a property violation, our causality analysis formalizes a notion of counterfactual reasoning (\what would the system behavior be if a component had been correct?") and algorithmically derives such alternative system behaviors, without re-executing the system itself. In this paper, we show that we can improve precision of the analysis if 1) we can emulate execution of components instead of relying on their contracts, and 2) take into consideration input/output dependencies between components to avoid blaming components for faults induced by other components. We demonstrate the utility of the extended analysis with a case study for a closed-loop patient-controlled analgesia system.
CPS Medical, CPS Model-Based Design, CPS Formal Methods
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-23820-3_16.
Date Posted: 27 October 2015
This document has been peer reviewed.