2008Electronic workshops in computingOpen access

Computing WCET using symbolic execution

Bilel Benhamamouch, Bruno Monsuez, Franck Védrine

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Abstract

We propose a novel formal method to compute an upper estimation of the WCET that contains the loss of precision and also can be easily parametrized by the hardware architecture. Assuming that there exists an executable timed model of the hardware, we first use symbolic execution [5] to precisely infer the execution time for a given instruction flow. We secondly identify execution states that can be merged with no loss of precision. Depending on the loss of precisionwe are ready to accept, we finally merge execution paths that have similar execution times.

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What this paper is about

We propose a novel formal method to compute an upper estimation of the WCET that contains the loss of precision and also can be easily parametrized by the hardware architecture. Assuming that there exists an executable timed model of the hardware, we first use symbolic execution [5] to precisely infer the execution time for a given instruction flow. We secondly identify execution states that can be merged with no loss of precision. Depending on the loss of precisionwe are ready to accept, we finally merge execution paths that have similar execution times.

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Available abstract

We propose a novel formal method to compute an upper estimation of the WCET that contains the loss of precision and also can be easily parametrized by the hardware architecture. Assuming that there exists an executable timed model of the hardware, we first use symbolic execution [5] to precisely infer the execution time for a given instruction flow. We secondly identify execution states that can be merged with no loss of precision. Depending on the loss of precisionwe are ready to accept, we finally merge execution paths that have similar execution times.

Key concepts: Computer science, Executable, Symbolic execution, Execution time, Merge (version control), Worst-case execution time, Parallel computing, Execution model

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