An Abstraction-Refinement Theory for the Analysis and Design of Real-Time Systems

Philip S. Kurtin; Marco J.G. Bekooij

doi:10.1145/3126507

An Abstraction-Refinement Theory for the Analysis and Design of Real-Time Systems

Philip S. Kurtin, Marco J.G. Bekooij

Research output: Contribution to journal › Article › Academic › peer-review

5 Citations (Scopus)

11 Downloads (Pure)

Abstract

Component-based and model-based reasonings are key concepts to address the increasing complexity of real-time systems. Bounding abstraction theories allow to create efficiently analyzable models that can be used to give temporal or functional guarantees on non-deterministic and non-monotone implementations. Likewise, bounding refinement theories allow to create implementations that adhere to temporal or functional properties of specification models. For systems in which jitter plays a major role, both best-case and worst-case bounding models are needed.

In this paper we present a bounding abstraction-refinement theory for real-time systems. Compared to the state-of-the-art TETB refinement theory, our theory is less restrictive with respect to the automatic lifting of properties from component to graph level and does not only support temporal worst-case refinement, but evenhandedly temporal and functional, best-case and worst-case abstraction and refinement.

Original language	English
Article number	173
Pages (from-to)	173:1-173:20
Number of pages	20
Journal	ACM transactions on embedded computing systems
Volume	16
Issue number	5s
DOIs	https://doi.org/10.1145/3126507
Publication status	Published - 1 Sept 2017
Event	17th International Conference on Embedded Software, EMSOFT 2017 - Seoul, Korea, Republic of Duration: 16 Oct 2017 → 18 Oct 2017 Conference number: 17

Keywords

Denotational & asynchronous component model
Bounding abstraction & refinement
Worst-case & best-case modeling
Real-time system analysis & design
Temporal & functional analysis
Discrete-event streams
The-earlier-the-better
Timed dataflow
2023 OA procedure

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10.1145/3126507

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abstract = "Component-based and model-based reasonings are key concepts to address the increasing complexity of real-time systems. Bounding abstraction theories allow to create efficiently analyzable models that can be used to give temporal or functional guarantees on non-deterministic and non-monotone implementations. Likewise, bounding refinement theories allow to create implementations that adhere to temporal or functional properties of specification models. For systems in which jitter plays a major role, both best-case and worst-case bounding models are needed.In this paper we present a bounding abstraction-refinement theory for real-time systems. Compared to the state-of-the-art TETB refinement theory, our theory is less restrictive with respect to the automatic lifting of properties from component to graph level and does not only support temporal worst-case refinement, but evenhandedly temporal and functional, best-case and worst-case abstraction and refinement.",

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KW - Timed dataflow

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An Abstraction-Refinement Theory for the Analysis and Design of Real-Time Systems

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