Early timing analysis based on scenario requirements and platform models - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Software and Systems Modeling Year : 2022

Early timing analysis based on scenario requirements and platform models


Distributed, software-intensive systems (e.g., in the automotive sector) must fulfill communication requirements under hard real-time constraints. The requirements have to be documented and validated carefully using a systematic requirements engineering (RE) approach, for example, by applying scenario-based requirements notations. The resources of the execution platforms and their properties (e.g., CPU frequency or bus throughput) induce effects on the timing behavior, which may lead to violations of the real-time requirements. Nowadays, the platform properties and their induced timing effects are verified against the real-time requirements by means of timing analysis techniques mostly implemented in commercial-off-the-shelf tools. However, such timing analyses are conducted in late development phases since they rely on artifacts produced during these phases (e.g., the platform-specific code). In order to enable early timing analyses already during RE, we extend a scenario-based requirements notation with allocation means to platform models and define operational semantics for the purpose of simulation-based, platform-aware timing analyses. We illustrate and evaluate the approach with an automotive software-intensive system.
Fichier principal
Vignette du fichier
Early_Timing_Analysis_based_on_Scenario_Requirements_and_Platform_Models.pdf (1.28 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03375049 , version 1 (12-10-2021)



Jörg Holtmann, Julien Deantoni, Markus Fockel. Early timing analysis based on scenario requirements and platform models. Software and Systems Modeling, 2022, 21, ⟨10.1007/s10270-022-01002-3⟩. ⟨hal-03375049⟩
65 View
107 Download



Gmail Facebook Twitter LinkedIn More