2001
DOI: 10.1007/3-540-44585-4_33
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The Temporal Logic Sugar

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Cited by 92 publications
(56 citation statements)
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“…Since automata represent finite-state control, it is hard to see why random directed graphs with linear density do not provide a realistic model. Hopefully, with the recent increase in popularity of finite-state formalisms in industrial temporal property specification languages (c.f., [4,6]), such benchmarks will become available in the not-too-far future, enabling us to evaluate our findings on such benchmarks. While our results are purely empirical, as the lack of success with fully analyzing related probabilistic models indicates (cf.…”
Section: Discussionmentioning
confidence: 99%
“…Since automata represent finite-state control, it is hard to see why random directed graphs with linear density do not provide a realistic model. Hopefully, with the recent increase in popularity of finite-state formalisms in industrial temporal property specification languages (c.f., [4,6]), such benchmarks will become available in the not-too-far future, enabling us to evaluate our findings on such benchmarks. While our results are purely empirical, as the lack of success with fully analyzing related probabilistic models indicates (cf.…”
Section: Discussionmentioning
confidence: 99%
“…A possible way to achieve this is to adopt some of the ideas discussed in [3], [6], [18], [19]. This will require an appropriate adaptation of the translation scheme.…”
Section: Discussionmentioning
confidence: 99%
“…Paper [6] introduces a language for pattern definition as a way to create extendable sets of property patterns. Sugar [19] provides several layers for property specification and verification; in particular, extended regular expressions are used to describe execution sequences on which temporal properties are checked.…”
Section: Introductionmentioning
confidence: 99%
“…In the static verification community, several other specification languages like Sugar [4] and ForSpec [3] exist, which also contain additional syntactic sugar hiding the temporal logics in the semantic layer to make the input languages more user-friendly.…”
Section: G(modify(c) → Remove(s C) R ¬Contains(s C))mentioning
confidence: 99%