Proceedings of the 14th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages - POPL '87 1987
DOI: 10.1145/41625.41645
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Full abstraction of a real-time denotational semantics for an OCCAM-like language

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Cited by 30 publications
(23 citation statements)
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“…This is important especially when only a few components of a large Statechart change, a waste of resources by re-compiling the large Statechart will not take place. Theoretical studies constructed by Huizing [10] showed that one cannot combine the features of causality, synchrony hypothesis and compositionality with a step semantics which labels transitions by sets of "input/output" events. G. Lüttgen, M. von der Beeck and R. Cleaveland [12] presented an approach to define Statecharts' semantics.…”
Section: Related Workmentioning
confidence: 99%
“…This is important especially when only a few components of a large Statechart change, a waste of resources by re-compiling the large Statechart will not take place. Theoretical studies constructed by Huizing [10] showed that one cannot combine the features of causality, synchrony hypothesis and compositionality with a step semantics which labels transitions by sets of "input/output" events. G. Lüttgen, M. von der Beeck and R. Cleaveland [12] presented an approach to define Statecharts' semantics.…”
Section: Related Workmentioning
confidence: 99%
“…and all of our higher-level constructs are derived from it. In several ways it syntactically resembles the variants of real-time CSP found in [7] and [11]. Yet it includes many additional features that take full advantage of our priority semantics.…”
Section: Overview Of Csrmentioning
confidence: 99%
“…To accomplish this, event synchronization between processes is limited to one sender, and one receiver. Lately,'variants of this semantics have been used to model a real-time version of occam [7], Statecharts [8] and a design language for distributed, reactive systems [13].…”
Section: May 7 1989mentioning
confidence: 99%
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“…In addition to the communications at any point of time, the model includes information about those processes waiting to send or waiting to receive messages on their channels at any given time. (The need for this additional information in a compositional framework follows from the fact that this information is present in the fully abstract semantics given in [HGR87] for a similar language.) Using this information, the formalism enforces minimal waiting in our maximal parallelism model by requiring that no pair of processes is ever simultaneously waiting to send and waiting to receive, respectively, on a shared channel.…”
Section: Computational Modelmentioning
confidence: 99%