Dependability checking with StoCharts: Is train radio reliable enough for trains?

Performance, dependability and quality of service (QoS) are prime aspects of the UML modelling domain. To capture these aspects effectively in the design phase, we have recently proposed STOCHARTS, a conservative extension of UML statechart diagrams. In this paper, we apply the STOCHART formalism to a safety critical design problem. We model a part of the European Train Control System specification, focusing on the risks of wireless communication failures in future high-speed cross-European trains. Stochastic model checking with the model checker PROVER enables us to derive constraints under which the central quality requirements are satisfied by the STOCHART model. The paper illustrates the flexibility and maturity of STOCHARTS to model real problems in safety critical system design

Formal Compositional Semantics for Yakindu Statecharts

Many of today’s safety-critical systems are reactive, embedded systems. Their internal behavior is usually represented by state-based models. Furthermore, as the tasks carried out by such systems are getting more and more complex, there is a strong need for compositional modeling languages. Such modeling formalisms start from the component-level and use composition to build the system-level model as a collection of simple modules. There are a number of solutions supporting the model-based development of safety-critical embedded systems. One of the popular open-source tools is Yakindu, a statechart editor with a rich language and code generation capabilities. However, Yakindu so far lacks support for compositional modeling. This paper proposes a formal compositional language tailored to the semantics of Yakindu statecharts. We propose precise semantics for the composition to facilitate formal analysis and precise code generation. Based on the formal basis laid out here, we plan to build a complete tool-chain for the design and verification of component- based reactive systems

A comparative reliability analysis of ETCS train radio communications

StoCharts have been proposed as a UML statechart extension for performance and dependability evaluation, and were applied in the context of train radio reliability assessment to show the principal tractability of realistic cases with this approach. In this paper, we extend on this bare feasibility result in two important directions. First, we sketch the cornerstones of a mechanizable translation of StoCharts to MoDeST. The latter is a process algebra-based formalism supported by the Motor/Möbius tool tandem. Second, we exploit this translation for a detailed analysis of the train radio case study

From StoCharts to MoDeST: a comparative reliability analysis of train radio communications

StoCharts have been proposed as a UML statechart extension for performance and dependability evaluation, and have been applied in the context of train radio reliability assessment to show the principal tractability of realistic cases with this approach. In this paper, we extend on this bare feasibility result in two important directions. First, we sketch the cornerstones of a mechanizable translation of StoCharts to MoDeST. The latter is a process algebra-based formalism supported by the Motor/Möbius tool tandem. Second, we exploit this translation for a detailed analysis of the train radio case study