Title
Extending Abstract Acceleration Methods to Data-Flow Programs with Numerical Inputs
Abstract
Acceleration methods are commonly used for computing precisely the effects of loops in the reachability analysis of counter machine models. Applying these methods on synchronous data-flow programs with Boolean and numerical variables, e.g. Lustre programs, firstly requires the enumeration of the Boolean states in order to obtain a control graph with numerical variables only. Secondly, acceleration methods have to deal with the non-determinism introduced by numerical input variables. In this article we address the latter problem by extending the concept of abstract acceleration of Gonnord et al. to numerical input variables.
Year
DOI
Venue
2010
10.1016/j.entcs.2010.09.009
Electr. Notes Theor. Comput. Sci.
Keywords
Field
DocType
numerical input variable,abstract interpretation,acceleration,counter machine model,extending abstract acceleration methods,lustre program,latter problem,reachability analysis,static analysis,boolean state,numerical inputs,abstract acceleration,acceleration method,linear relation analysis,data-flow programs,control graph,numerical variable,data flow
Counter machine,Graph,Abstract interpretation,Computer science,Static analysis,Algorithm,Theoretical computer science,Reachability,Acceleration,Boolean algebra,Data flow diagram
Journal
Volume
Issue
ISSN
267
1
Electronic Notes in Theoretical Computer Science
Citations 
PageRank 
References 
7
0.46
14
Authors
2
Name
Order
Citations
PageRank
Peter Schrammel113419.10
Bertrand Jeannet264129.06