pWCET: a Tool for Probabilistic Worst-Case Execution Time Analysis of Real-Time Systems
Guillem Bernat, Antoine Colin, Stefan M. Petters
Abstract
Guillem Bernat, Antoine Colin, Stefan M. Petters
Abstract
Abstract This paper describes the tool support for a framework for performing probabilistic worst-case execution time (WCET) analysis for embedded real-time systems. The tool is based on a combination of measurement and static analysis, all in a probabilistic framework. Measurement is used to determine execution traces and static analysis to construct the worst path and effectively providing an upper bound on the worst-case execution time of a program. The paper illustrates the theoretical framework and the components of the tool together with a case study.
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Abstract This paper describes the tool support for a framework for performing probabilistic worst-case execution time (WCET) analysis for embedded real-time systems. The tool is based on a combination of measurement and static analysis, all in a probabilistic framework. Measurement is used to determine execution traces and static analysis to construct the worst path and effectively providing an upper bound on the worst-case execution time of a program. The paper illustrates the theoretical framework and the components of the tool together with a case study.
Key concepts: Probabilistic logic, Computer science, Worst-case execution time, Execution time, Static analysis, Construct (python library), Probabilistic analysis of algorithms, Upper and lower bounds