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Framework for the Development and Testing of Dependable and Safety-Critical Systems

This project aims to improve the quality of system design through model analysis tools and techniques, applied formal mathematics, and support for standardized languages and tools. The project focuses on embedded systems and the guarantee of quality of service, correctness, and fault tolerance.

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Framework for the Development and Testing of Dependable and Safety-Critical Systems

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  1. Framework for the Development and Testing ofDependable and Safety-Critical Systems IKTA 065/2000. 2001-2003. Supported by the Information and Communication Technology Programme of the Ministry of Education

  2. Partners • Coordinator: Budapest University of Technology and Economics, Dept. of Measurement and Information Systems • Industrial partners: • Prolan Process Control Co. • B.Braun Medical Hungary Ltd. • Magic Onyx Hungary Ltd.

  3. Goals • Improving quality of system design by • model analysis tools and techniques for embedded and reactive systems • applied formal mathematics (hidden from the designer) • Support of standardized languages and tools • UML for visual design • off-the-shelf tools for analysis • Transfer of know-how and tools for verification

  4. Background • Convergence of communication and information technologies • Embedded systems: Computer controlled network of intelligent sensors and actors • Convergence of the design methodologies of everyday and mission critical systems • computer systems supervised by non-professionals • fault tolerance required

  5. Embedded systems • Long life is expected • Continuous interaction with the environment • Faults: not a simple implementation issue • Specification faults • Software design faults • Transient (physical) faults • Permanent physical faults

  6. The subject of the project • Guaranteeing QoS by checking and proving • completeness and consistency of the specification • correct operation of the system in presence of anticipated faults • functional correctness of control flow (dynamic behaviour)

  7. Additional requirements • Standard languages • data exchange formats (XML) • tool independence (UML  XMI) • readiness for new checking/analysis methods • ISO 9000 conform (UML-based) tools • Reuse of existing methods and tools

  8. Novel approach Design of an IT system Mathematical analysis Automated model generation (Semi-)formal specification, system model (UML) Mathematical model Analysis Back-annotation Code generation Implementation

  9. Fundamental questions Design of an IT system Mathematical analysis Proof of correctness Redundancy of the model Transformation semantics UML dialect (restrictions) UML system model Mathematical model Automated model generation Efficiency of the analysis Analysis Back-annotation Problem specific UML extensions Code generation Control heuristics Implementation Visualization of dynamic sequences Reversibility of the transformation

  10. ISO 9000 ISO 9000 System architecture Documentation Prototyping (simulation) Database design Object code CTL Proof of Correctness Semi-formal specification XMI TRD 3 Performability Central repository relational database Deductive XMI SPN modelling database UML model commercial tool TRD 2 XMI Planner Fault simulation, Dependability analysis XMI DFN back- annotation XMI Fault model, typical solutions Transformation Rule Description (TRD) Transformation Engine Prolog Model library

  11. Applied analysis methods 1. Analysis of the completeness and consistency of the specification 2. Analysis of fault propagation and testability 3. Formal verification of control flow

  12. Analysis of the specification • Safety criteria • Completeness and consistency of the semi-formal specification (UML) • Analysis techniques: • static analysis • reachability analysis (model checking) • theorem proving • Constructive methods: • design patterns (correctness proved)

  13. Analysis of fault propagation • Extension of the model by fault effects + fault propagation • Checking the operation in the presence of expected faults • Proving coverage of fault tolerance techniques • Risk analysis

  14. Analysis of fault propagation II. • Extended model  complexity explosion • Hierarchical view: • hierarchic checking and model refinement • non-determinism • Applied formalism: Data flow networks • Proposed methods: • testability analysis (list based fault propagation) • test generation (adaptation of gate-level techniques)

  15. Formal verification of control flow • Critical points of embedded systems: • Complex control algorithms • Event driven, asynchronous operation  Exhaustive testing is not possible • Classical formal methods: • Temporal logic model checking • Proposed additional techniques: • Petri-nets + linear algebra + operation research

  16. Expected results • Tool prototypes • completeness and consistency checker • fault proparation and testability analyzer • model verifier • Demonstration by industrial examples • functions of an artificial kidney machine • modules of a train control application • Education materials • application of the analysis tools and techniques

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