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Cited by 13 publications
(5 citation statements)
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References 9 publications
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“…Hassine [55,56] annotates the scenario notation of Timed Use Case Maps (TUCM) [57] and its underlying architecture with timing-relevant effects. The annotated TUCM model is transformed into an Abstract State Machine model [14] that is simulated in an external tool, similarly to our approach.…”
Section: Analysis Of Timed Scenario-based Modelsmentioning
confidence: 99%
“…Hassine [55,56] annotates the scenario notation of Timed Use Case Maps (TUCM) [57] and its underlying architecture with timing-relevant effects. The annotated TUCM model is transformed into an Abstract State Machine model [14] that is simulated in an external tool, similarly to our approach.…”
Section: Analysis Of Timed Scenario-based Modelsmentioning
confidence: 99%
“…Hassine et al also provided a formal semantics for UCM, but this time based on Abstract State Machines (ASM, [38]), with tool support for simulation [88]. They further investigated the use of quantitative time constraints in UCM models with a UCM extension called Timed Use Case Maps, for which they provided additional semantics based on more appropriate formalisms, namely timed automata [90], clocked transition systems [89], and again ASM [86]. Hassine's thesis [85] is the best document where these extensions and semantics are used, and a recent survey provides a comparison with related timed scenario languages [92].…”
Section: Formalizationmentioning
confidence: 99%
“…• It provides a novel approach to describe availability requirements into UCM models in a flexible manner. • It extends our ongoing research towards the construction of a UCM-based framework to describe, simulate and analyze real-time systems [2] [3] [4] [5] [8]. The remainder of this paper is organized as follows.…”
Section: Introductionmentioning
confidence: 99%
“…The standard UCM language [1] does not describe semantics involving time, allowing for different interpretations of timing information, such as the time needed for a transition or a responsibility to complete. To tackle this issue, we have extended the UCM language with timing constraints [2] [3] allowing for quantitative analysis (such as Schedulability Analysis) at a high level of abstraction [4] [5]. In a related work, Petriu et al [6] have augmented UCM language with performance related data such as arrival characteristics for start points, probabilities/weights on branches, plugins and dynamic stubs.…”
Section: Introductionmentioning
confidence: 99%