We describe a translation from Rebeca, an actorbased language, to mCRL2, a process algebra enhanced with data types. The main motivation is to exploit the verification tools and theories developed for mCRL2 in Rebeca. The mapping is applied to several case-studies including the tree identify phase of the IEEE 1394 standard. The results of the experiment show that the minimization tools of mCRL2 can be very effective and the outcome of the present translation outperforms that of the translation to the input language of the Spin modelchecker.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.