1994
DOI: 10.1007/3-540-57877-3_14
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Flow grammars — a flow analysis methodology

Abstract: Flow grammars provide a new mechanism for modeling control flow in flow analyzers and code optimizers. Existing methods for representing control flow are inadequate in terms of both their generality and their accuracy. Flow grammars overcome these deficiencies and are well-suited to the specification and solution of data flow analysis problems.

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Cited by 3 publications
(4 citation statements)
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References 18 publications
(22 reference statements)
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“…Many previous works of the author [1,2,3,4,5] clearly indicate connections between machine dynamics and technical diagnostics, especially vibration diagnostics. The bases of identification, modeling and concluding fully convince towards the dominating role of vibrations in machine state identification [6,7,8,9]. Properly planned and realized experiment is the base to obtain diagnostically sensitive signals which processed will determine state diagnosis procedures.…”
Section: Introductionmentioning
confidence: 99%
“…Many previous works of the author [1,2,3,4,5] clearly indicate connections between machine dynamics and technical diagnostics, especially vibration diagnostics. The bases of identification, modeling and concluding fully convince towards the dominating role of vibrations in machine state identification [6,7,8,9]. Properly planned and realized experiment is the base to obtain diagnostically sensitive signals which processed will determine state diagnosis procedures.…”
Section: Introductionmentioning
confidence: 99%
“…The other competing approach, used in past versions of the Pavilion system, is to represent sets of program traces by flow grammars [145]. This model represents the same traces as the pushdown automaton model, but uses a different data structure with different efficiencies for operations.…”
Section: Modeling the Input And Output Programsmentioning
confidence: 99%
“…analysis, such as [43,101,145]. Also, outside the context of program analysis, push-down automata are a well-understood subject in computer science; algorithms for manipulating them in various 3.…”
Section: Feature Analysismentioning
confidence: 99%
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