Automatic Failure Explanation in CPS Models
This addresses the laborious task of failure explanation for CPS designers, though it appears incremental as it combines existing techniques like testing and specification mining.
The paper tackles the problem of debugging complex Cyber-Physical System (CPS) models by proposing CPSDebug, an approach that automatically explains failures in Simulink/Stateflow models, demonstrating its potential value through evaluation on two case studies.
Debugging Cyber-Physical System (CPS) models can be extremely complex. Indeed, only the detection of a failure is insuffcient to know how to correct a faulty model. Faults can propagate in time and in space producing observable misbehaviours in locations completely different from the location of the fault. Understanding the reason of an observed failure is typically a challenging and laborious task left to the experience and domain knowledge of the designer. \n In this paper, we propose CPSDebug, a novel approach that by combining testing, specification mining, and failure analysis, can automatically explain failures in Simulink/Stateflow models. We evaluate CPSDebug on two case studies, involving two use scenarios and several classes of faults, demonstrating the potential value of our approach.