TY - GEN

T1 - Automated circular assume-guarantee reasoning

AU - Elkader, Karam Abd

AU - Grumberg, Orna

AU - Păsăreanu, Corina S.

AU - Shoham, Sharon

N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Compositional verification techniques aim to decompose the verification of a large system into the more manageable verification of its components. In recent years, compositional techniques have gained significant successes following a breakthrough in the ability to automate assume-guarantee reasoning. However, automation is still restricted to simple acyclic assume-guarantee rules. In this work, we focus on automating circular assume-guarantee reasoning in which the verification of individual components mutually depends on each other. We use a sound and complete circular assume-guarantee rule and we describe how to automatically build the assumptions needed for using the rule. Our algorithm accumulates joint constraints on the assumptions based on (spurious) counterexamples obtained from checking the premises of the rule, and uses a SAT solver to synthesize minimal assumptions that satisfy these constraints. We implemented our approach and compared it with an established learningbased method that uses an acyclic rule. In all cases, the assumptions generated for the circular rule were significantly smaller, leading to smaller verification problems. Further, on larger examples, we obtained a significant speedup as well.

AB - Compositional verification techniques aim to decompose the verification of a large system into the more manageable verification of its components. In recent years, compositional techniques have gained significant successes following a breakthrough in the ability to automate assume-guarantee reasoning. However, automation is still restricted to simple acyclic assume-guarantee rules. In this work, we focus on automating circular assume-guarantee reasoning in which the verification of individual components mutually depends on each other. We use a sound and complete circular assume-guarantee rule and we describe how to automatically build the assumptions needed for using the rule. Our algorithm accumulates joint constraints on the assumptions based on (spurious) counterexamples obtained from checking the premises of the rule, and uses a SAT solver to synthesize minimal assumptions that satisfy these constraints. We implemented our approach and compared it with an established learningbased method that uses an acyclic rule. In all cases, the assumptions generated for the circular rule were significantly smaller, leading to smaller verification problems. Further, on larger examples, we obtained a significant speedup as well.

UR - http://www.scopus.com/inward/record.url?scp=84937390869&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-19249-9_3

DO - 10.1007/978-3-319-19249-9_3

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AN - SCOPUS:84937390869

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 23

EP - 39

BT - FM 2015

A2 - Bjorner, Nikolaj

A2 - de Boer, Frank

PB - Springer Verlag

T2 - 20th International Symposium on Formal Methods, FM 2015

Y2 - 24 June 2015 through 26 June 2015

ER -