Modelling probabilistic timing analysis work-in-progress
We describe the process of calculating the execution time profile (ETP) in order to determine the probabilistic worst case execution time (WCET) using a model-based approach. By hierarchical state machines with probabilistic transitions and costs/reward specifications, we model the instructions with...
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Published in | Proceedings of the Thirteenth ACM International Conference on Embedded Software 2017 Companion pp. 1 - 2 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
New York, NY, USA
ACM
15.10.2017
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Series | ACM Other Conferences |
Subjects | |
Online Access | Get full text |
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Summary: | We describe the process of calculating the execution time profile (ETP) in order to determine the probabilistic worst case execution time (WCET) using a model-based approach. By hierarchical state machines with probabilistic transitions and costs/reward specifications, we model the instructions with probabilistic execution time. From the model, our tool, pState, generates input code for a probabilistic model checker on which properties can be analysed. |
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ISBN: | 9781450351867 1450351867 |
DOI: | 10.1145/3125503.3125566 |