Verification of statecharts using data abstraction

Helke, Steffen and Kammueller, Florian ORCID logoORCID: https://orcid.org/0000-0001-5839-5488 (2016) Verification of statecharts using data abstraction. International Journal of Advanced Computer Science and Applications, 7 (1) . pp. 571-583. ISSN 2158-107X [Article] (doi:10.14569/IJACSA.2016.070179)

Abstract

We present an approach for verifying Statecharts including infinite data spaces. We devise a technique for checking that a formula of the universal fragment of CTL is satisfied by a specification written as a Statechart. The approach is based on a property-preserving abstraction technique that additionally preserves structure. It is prototypically implemented in a logic- based framework using a theorem prover and a model checker. This paper reports on the following results. (1) We present a proof infra-structure for Statecharts in the theorem prover Isabelle/HOL, which constitutes a basis for defining a mechanised data abstraction process. The formalisation is based on Hierar- chical Automata (HA) which allow a structural decomposition of Statecharts into Sequential Automata. (2) Based on this theory we introduce a data abstraction technique, which can be used to abstract the data space of a HA for a given abstraction function. The technique is based on constructing over-approximations. It is structure-preserving and is designed in a compositional way. (3) For reasons of practicability, we finally present two tactics supporting the abstraction that we have implemented in Isabelle/HOL. To make proofs more efficient, these tactics use the model checker SMV checking abstract models automatically.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 19717
Useful Links:
Depositing User: Florian Kammueller
Date Deposited: 04 May 2016 09:41
Last Modified: 13 Oct 2016 14:39
URI: https://eprints.mdx.ac.uk/id/eprint/19717

Actions (login required)

View Item View Item

Statistics

Activity Overview
6 month trend
0Downloads
6 month trend
447Hits

Additional statistics are available via IRStats2.