Keywords
Bayesian, model checing, heuristics
Abstract
This paper presents a formal verification algorithm for finding errors in models of complex concurrent systems. The algorithm improves explicit guided model checking by applying the Empirical Bayes method to revise heuristic estimates of the distance from a given state to an error state. Guided search using the revised estimates finds errors with less search effort than the original estimates.
Original Publication Citation
Kevin Seppi, Michael Jones, and Peter Lamborn. "Guided Model Checking with a Bayesian Meta-heuristic." In Fundamenta Informaticae, 7(1-2), 26, pp. 111-126.
BYU ScholarsArchive Citation
Jones, Michael D.; Lamborn, Peter; and Seppi, Kevin, "Guided Model Checking with a Bayesian Meta-heuristic" (2004). Faculty Publications. 1035.
https://scholarsarchive.byu.edu/facpub/1035
Document Type
Peer-Reviewed Article
Publication Date
2004-01-01
Permanent URL
http://hdl.lib.byu.edu/1877/2601
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/