SLMC: A Tool for Model Checking Concurrent Systems against Dynamical Spatial Logic Specifications

Abstract

Abstract. The Spatial Logic Model Checker is a tool for verifying π-calculus systems against safety, liveness, and structural properties expressed in the spatial logic for concurrency of Caires and Cardelli. Model-checking is one of the most widely used techniques to check temporal properties of software systems. However, when the analysis focuses on properties related to resource usage, localities, interference, mobility, or topology, it is crucial to reason about spatial properties and structural dynamics. The SLMC is the only currently available tool that supports the combined analysis of behavioral and spatial properties of systems. The implementation, written in OCAML, is mature and robust, available in open source, and outperforms other tools for verifying systems modeled in π-calculus.

On Decision Support for Remote Industrial Facilities using the Collaborative Engineering Framework

“…In the spatio-temporal case, disjoint logical spaces are represented in terms of expressions by bracketing structures and carry or exchange concurrent process representations. Model checking for process algebras in this context is presented in [22]. Complementing this, a graph-based technique for the verification of spatial properties of finite π-calculus fragments (another process algebra) is introduced in [29].…”

Towards a Process Calculus for Rest: Current State of the Art

“…In the context of SCC and CC Authors of JCaSPiS show how JCaSPiS can be easily adopted as a stand alone implementation of SCC. In addition, it is worth noting that the SLMC model checker (Spatial Logic Model Checker for Concurrency, Distribution and Mobility) [13] developed for automatic verification of behavioral and spatial properties of distributed concurrent systems expressed in the π-calculus supports the specification of SOA systems in CC since version 2.01.…”

An Example for BeSpaceD and its Use for Decision Support in Industrial Automation

“…Another framework for describing hybrid programs with stochastic features is described in [24]. A verification tool to check properties based on this formalism is described [11]. In our work, we are more focused on a domain specific solution for industrial automation.…”