4 research outputs found
Extending ACL2 with SMT Solvers
We present our extension of ACL2 with Satisfiability Modulo Theories (SMT)
solvers using ACL2's trusted clause processor mechanism. We are particularly
interested in the verification of physical systems including Analog and
Mixed-Signal (AMS) designs. ACL2 offers strong induction abilities for
reasoning about sequences and SMT complements deduction methods like ACL2 with
fast nonlinear arithmetic solving procedures. While SAT solvers have been
integrated into ACL2 in previous work, SMT methods raise new issues because of
their support for a broader range of domains including real numbers and
uninterpreted functions. This paper presents Smtlink, our clause processor for
integrating SMT solvers into ACL2. We describe key design and implementation
issues and describe our experience with its use.Comment: In Proceedings ACL2 2015, arXiv:1509.0552
Verification of full functional correctness for imperative linked data structures
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 207-222).We present the verification of full functional correctness for a collection of imperative linked data structures implemented in Java. A key technique that makes this verification possible is a novel, integrated proof language that we have developed within the context of the Jahob program verification system. Our proof language allows us to embed proof commands directly within the program, making it possible to reason about the behavior of the program in its original context. It also allows us to effectively leverage Jahob's integrated reasoning system. Unlike conventional program verification systems that rely on a single monolithic prover, Jahob includes interfaces to a diverse collection of specialized automated reasoning systems-automated theorem provers, decision procedures, and program analyses-that work together to prove the verification conditions that the system automatically generates. Our proof language enables the developer to direct the efforts of these automated reasoning systems to successfully verify properties that the system is unable to verify without guidance. Our specifications characterize the behavior of the data structures in terms of their abstract state, resulting in verified interfaces that can be used to reason about the behavior of the data structures without revealing the underlying representation. The results demonstrate the effectiveness of our proof language and integrated reasoning approach, and provide valuable insight into the specification and verification of imperative linked data structures.by Karen K. Zee.Ph.D