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Execution Trace Analysis for a Precise Understanding of Latency Violations

  • Institut Polytechnique de Paris

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Résumé

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 ofour approach.

langue originaleAnglais
titreProceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages123-133
Nombre de pages11
ISBN (Electronique)9781665434959
Les DOIs
étatPublié - 1 janv. 2021
Evénement24th ACM/IEEE International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021 - Virtual, Online, Japon
Durée: 10 oct. 202115 oct. 2021

Série de publications

NomProceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021

Une conférence

Une conférence24th ACM/IEEE International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021
Pays/TerritoireJapon
La villeVirtual, Online
période10/10/2115/10/21

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