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Execution Trace Analysis for a Precise Understanding of Latency Violations

Maysam Zoor 1, 2, 3 Ludovic Apvrille 1, 2, 3 Renaud Pacalet 1, 2, 3 
Abstract : Despite the amount of proposed works for the verification of diverse model properties, understanding the root cause of latency requirements violation in execution traces is still an open-issue especially for complex HW/SW system-level designs: is it due to an unfavorable real-time scheduling, to contentions on buses, to the characteristics of functional algorithms or hardware components? This identification is particularly at stake when adding new features in a model, e.g., a new security countermeasure. The paper introduces PLAN, a new trace analysis technique whose objective is to classify execution transactions according to their impact on latency. To do so, we rely first on a model transformation that builds up a dependency graph from an allocation model, thus including hardware and software aspects of a system model. Then, from this graph and an execution trace, our analysis can highlight how software or hardware elements contributed to the latency violation. The paper first formalizes the problem before applying our approach to simulation traces of SysML models. A case study defined in the AQUAS European project illustrates the interest of our approach.
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Submitted on : Monday, September 20, 2021 - 1:47:16 PM
Last modification on : Tuesday, October 19, 2021 - 11:15:21 AM
Long-term archiving on: : Tuesday, December 21, 2021 - 6:46:06 PM


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  • HAL Id : hal-03349254, version 1


Maysam Zoor, Ludovic Apvrille, Renaud Pacalet. Execution Trace Analysis for a Precise Understanding of Latency Violations. International Conference on Model Driven Engineering Languages and Systems, Oct 2021, Fukuoka (virtual), Japan. ⟨hal-03349254⟩



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