DocumentCode
2643732
Title
Bounded Model Checking of Incomplete Networks of Timed Automata
Author
Miller, Christian ; Gitina, Karina ; Scholl, Christoph ; Becker, Bernd
Author_Institution
Inst. of Comput. Sci., Albert-Ludwigs-Univ., Freiburg, Germany
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
61
Lastpage
66
Abstract
Verification of real-time systems - e.g. communication protocols or embedded controllers - is an important task. One method to detect errors is called bounded model checking (BMC). In BMC the system is iteratively unfolded and then transformed into a satisfiability problem. If an appropriate solver finds the k-th instance to be satisfiable a counterexample for a given safety property has been found. In this paper we present a first approach to apply BMC to networks of timed automata (that is a system of several interacting subautomata) where parts of the network are unspecified (so called blackboxes). Here, we would like to answer the question of unrealizability, that is, is there a path of a certain length violating a safety property regardless of the implementation of the blackboxes. We provide solutions to this problem for two timed automata communication models. For the simple synchronization model, a BMC approach based on fixed transitions is introduced resulting in a SAT-Modulo-Theory formula. With respect to the use of bounded integer variables for communication, we prove unrealizability by introducing universal quantification, yielding more advanced quantified SAT-Modulo-Theory formulas.
Keywords
automata theory; computability; formal verification; real-time systems; SAT-Modulo-theory formula; bounded model checking; incomplete networks; real-time systems; satisfiability; timed automata; verification; Automata; Clocks; Encoding; Protocols; Real time systems; Safety; Synchronization; BMC; Blackbox; SMT; Timed Automata; quantified SMT;
fLanguage
English
Publisher
ieee
Conference_Titel
Microprocessor Test and Verification (MTV), 2010 11th International Workshop on
Conference_Location
Austin, TX
ISSN
1550-409
Print_ISBN
978-1-61284-287-5
Type
conf
DOI
10.1109/MTV.2010.19
Filename
5976194
Link To Document