Virtual Verification of System Designs against System Requirements

Schamai, Wladimir; Helle, Philipp; Fritzson, Peter; Paredis, Christiaan J. J.

doi:10.1007/978-3-642-21210-9_8

Cited by 26 publications

(26 citation statements)

References 7 publications

(6 reference statements)

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“…Automated verification of dynamic behavior of design models against formalized requirements is described in [10] and [11]. A prototype of an integrated tool chain for model based functional safety analysis is presented in [12].…”

Section: Integrated Openmodelica Meta Tools Environmentmentioning

confidence: 99%

Verification and Design Exploration through Meta Tool Integration with OpenModelica

Lattmann

Pop

Kleer

et al. 2014

Linköping Electronic Conference Proceedings

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Modelica models are typically used for simulation to investigate properties of a possible system designs. This is often done manually or combined with optimization to select the best design parameters.It is desirable to have systematic and partly automated support for exploration of the design space of possible designs and verifying their properties vs. requirements. The META design tool chain is being developed to support this goal. It provides an integration framework for components, designs, design spaces, requirements, and test benches, as well as verification of requirements for the generated design models during design exploration This paper gives an overview of the META tools and their integration with OpenModelica. The integrated environment currently has four main uses of OpenModelica: importing Modelica models into the META tool model structure, performing simulations within test benches, analyzing Modelica models and automatically adding fault modes, and extracting equations (DAEs) for formal verification tools, e.g. the QRM using qualitative reasoning.A prototype of the integrated tool framework is in operation, being able to generate and simulate thousands of designs in an automated manner.

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Section: Integrated Openmodelica Meta Tools Environmentmentioning

confidence: 99%

Verification and Design Exploration through Meta Tool Integration with OpenModelica

Lattmann

Pop

Kleer

et al. 2014

Linköping Electronic Conference Proceedings

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“…This method enables dynamic system behavior to 7 Some text in this section is an updated version of (Schamai, Helle, Fritzson, & Paredis, 2011). 8 The focus here is on an integrated modeling and simulation of physical and software components of complex systems.…”

Section: Motivation 7 31mentioning

confidence: 99%

“…This step may require consultation with the system designer. For example, consider the following requirements taken from (Schamai, Helle, Fritzson, & Paredis, 2011): Clearly, there is no need for a dynamic analysis of system behavior to verify a particular design alternative against these requirements. Design inspection would be sufficient.…”

Section: Requirements Preselectionmentioning

confidence: 99%

Model-Based Verification of Dynamic System Behavior against Requirements : Method, Language, and Tool

Schamai¹

2013

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Modeling and simulation of complex systems is at the heart of any modern engineering activity. Engineers strive to predict the behavior of the system under development in order to get answers to particular questions long before physical prototypes or the actual system are built and can be tested in real life.An important question is whether a particular system design fulfills or violates requirements that are imposed on the system under development. When developing complex systems, such as spacecraft, aircraft, cars, power plants, or any subsystem of such a system, this question becomes hard to answer simply because the systems are too complex for engineers to be able to create mental models of them. Nowadays it is common to use computer-supported modeling languages to describe complex physical and cyber-physical systems. The situation is different when it comes to describing requirements. Requirements are typically written in natural language. Unfortunately, natural languages fail at being unambiguous, in terms of both syntax and semantics. Automated processing of natural-language requirements is a challenging task which still is too difficult to accomplish via computer for this approach to be of significant use in requirements engineering or verification.This dissertation proposes a new approach to design verification using simulation models that include formalized requirements. The main contributions are a new method that is supported by a new language and tool, along with case studies. The method enables verification of system dynamic behavior designs against requirements using simulation models. In particular, it shows how naturallanguage requirements and scenarios are formalized. Moreover, it presents a framework for automating the composition of simulation models that are used for design verification, evaluation of verification results, and sharing of new knowledge inferred in verification sessions.A new language called ModelicaML was developed to support the new method. It enables requirement formalization and integrates UML and Modelica. The language and the developed algorithms for automation are implemented in a prototype that is based on Eclipse Papyrus UML, Acceleo, and Xtext for modeling, and OpenModelica tools for simulation. The prototype is used to illustrate the applicability of the new method to examples from industry. The case studies presented start with sets of natural-language requirements and show how they are translated into models. Then, designs and verification scenarios are modeled, and simulation models are composed and simulated automatically. The simulation results produced are then used to draw conclusions on requirement violations; this knowledge is shared using semantic web technology.This approach supports the development and dynamic verification of cyberphysical systems, including both hardware and software components. ModelicaML facilitates a holistic view of the system by enabling engineers to model and verify multi-domain system behavior using mathematical models an...

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“…Complementarily, checks by simulation can be used to verify the properties all along a given scenario such as the "Virtual Verification" method suggested in [11].…”

Section: Requirements Concerning the Checking The Visualization Andmentioning

confidence: 99%

Modelling of System Properties in a Modelica Framework

Jardin

Bouskela

Nguyen

et al. 2011

Linköping Electronic Conference Proceedings

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In order to improve the engineering processes and especially the corresponding verification and validation phases, this article deals with the modeling of system properties in a Modelica framework. The term "property" is intended here to be generic and refers to a system requirement or limitation as well as a validity domain of a model. The choice of the Modelica language is justified by a desire to use its equation-based feature to model system properties in an unambiguous and explicit way. Besides, choosing only one formalism to describe the system properties and the physical equations of the model should ease the expression of the model validity domains.After having introduced several theoretical concepts to formally describe a system property, the development of a dedicated library is explained and illustrated on an industrial example taken from the aeronautics domain. Some checks of system properties are thus performed by co-simulating behavioral and properties models. Finally, some extensions of the Modelica language are advocated in order to improve the applicability range and efficiency of properties modeling for complex systems, and especially to increase the rigor of their validations by enabling formal proofs.

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Virtual Verification of System Designs against System Requirements

Cited by 26 publications

References 7 publications

Verification and Design Exploration through Meta Tool Integration with OpenModelica

Verification and Design Exploration through Meta Tool Integration with OpenModelica

Model-Based Verification of Dynamic System Behavior against Requirements : Method, Language, and Tool

Modelling of System Properties in a Modelica Framework

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