Robustness analysis of avionics embedded systems
Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
Generalized symbolic execution for model checking and testing
TACAS'03 Proceedings of the 9th international conference on Tools and algorithms for the construction and analysis of systems
Coalescing executions for fast uncertainty analysis
Proceedings of the 33rd International Conference on Software Engineering
White box sampling in uncertain data processing enabled by program analysis
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
| Hi-index | 0.00 |
Inaccuracies, or deviations, in the measurements of monitored variables in a control system are facts of life that control software must accommodate 驴 the software is expected to continue functioning correctly in the face of an expected range of deviations in the inputs. Deviation analysis can be used to determine how a software specification will behave in the face of such deviations in data from the environment. The idea is to describe the correct values of an environmental quantity, along with a range of potential deviations, and then determine the effects on the outputs of the system. The analyst can then check whether the behavior of the software is acceptable with respect to these deviations.In this report we wish to propose a new approach to deviation analysis using model checking techniques. This approach allows for more precise analysis than previous techniques, and refocuses deviation analysis from an exploratory analysis to a verification task, allowing us to investigate a different range of questions regarding a system's response to deviations.