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Property Model Methodology: a case study with Modelica

Explore the PMM approach with Modelica, a method following INCOSE Model-Based Systems Engineering vision 2020, showcasing benefits like reduced requirements, quality improvements, cost savings, and systematic architecture design.

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Property Model Methodology: a case study with Modelica

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  1. Property Model Methodology:a case study with Modelica Romain PINQUIÉ, PhD Student, Arts & MétiersParisTech, LSIS UMR CNRS 7296, France Patrice MICOUIN, PhD, Arts & MétiersParisTech, LSIS UMR CNRS 7296, France Philippe VÉRON, Full Professor, Arts & MétiersParisTech, LSIS UMR CNRS 7296, France Frédéric SEGONDS, Assistant Professor, Arts & MétiersParisTech, LCPI, France Presented at: TMCE16, Tools and Methods of Competitive Engineering, 09-13 May 2016, Aix-en-Provence, France 11th May, 2016 Property Model Methodology: a case study with Modelica

  2. Outline Property Model Methodology Modelica PMM withModelica Relatedwork Future work

  3. Outline Property Model Methodology Modelica PMM withModelica Relatedwork Future work

  4. 1. PMM: Amethodthatembracessystems engineering principles Causal approach Zigzagging (Suh, 02) SM DM Design domain Specificationdomain SM DM SM DM « Whatwewant to achieve » « How wewant to achievethem » SM SM DM DM SM DM SM SM DM DM Specificationdomain Design domain

  5. 1. PMM: Follows INCOSE Model-BasedSystems Engineering 2020 vision "Model-Based Systems Engineering (MBSE) is the formalized application of modeling to support system requirements, design, analysis, verification, and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.“ -- INCOSE Vision 2020 « Co-simulation » of specification model and design model Typology PMM design models Further details in… Monitoring function BUILDING-BLOCK Compliance statuswrtrequirements SPECIFICATION Model Executionfunction Outputs DESIGN Model • Micouin, P. (2014) Model-BasedSystems Engineering: Fundamentals and Methods. Wiley-ISTE

  6. 1. PMM: Lessonslearnt in industry • Poupart, E. et al. (2015) PMM: A First Application to an Operational Project in the Space Domain. CSD&M 2015. • Micouin, P. et al. (2016) PMM Methodology: A First Assessment in the Avionics Domain. ERTS 2016. • The number of requirements is significantly reduced (by 4 up to 10) because… • PMM is a Goal-Oriented Requirements Engineering approach avoiding design decisions rephrasing • Modifications of Text-Based Requirements can have an inflationary effect • The quality of requirements is highly improved because… • PBRs are objective and uninterpretable • Specification models are free of design biases • Various cost savings because… • The system architecture results from a systematic top-down process avoiding interface errors • Restricted interpretation of specifications avoids ill-informed decisions • Requirements are validated by simulation before producing any physical (hardware and/or software) constituent • The generation of unit, integration and installation test cases is automatic

  7. 1. PMM: A language- and tool-agnosticmethod • Micouin, P., (2014) PMM: A Model-Based Systems Engineering Approach Using VHDL-AMS. Systems Engineering, 17(3). ALL YOU NEED IS… • ABoolean assertion functionto model requirements • Asimulation languageto executespecification and design models

  8. Outline Property Model Methodology Modelica PMM withModelica Relatedwork Future work

  9. 2. Modelica: A language in harmonywithsystems engineering principles Recursive break-down Multi-Engineering Reuse COTS Interfaces Object-Oriented

  10. 2. Modelica: Standardisedinteroperability and co-simulation with FMI 2016 - CAD Orwellism FMI for co-simulation FMI for co-simulation FMI for co-simulation FMI FOR MODEL EXCHANGE

  11. Outline Property Model Methodology Modelica PMM withModelica Relatedwork Future work

  12. 3. PMM withModelica: SPECIFICATION - Property-BasedRequirement When C→ val(O.P) ∈ D When condition Cis true, property Pof object O is actual and its value shall belong to domain D • Micouin, P. (2008) Toward a propertybasedrequirementstheory: system requirementsstructured as a semilatice. Systems Engineering 11(3).

  13. 3. PMM withModelica: SPECIFICATION - SpecificationModel PBRs Intended effects Inputscomingfrom the environment for an operational scenario

  14. 3. PMM withModelica: DESIGN - Equation Design Model Design modelsINHERITSpecificationmodels InheritedPBRs Inherited intended effects ExtendedInputscomingfrom the environment for an operational scenario Design parameters

  15. 3. PMM withModelica: Architecture - Tier 1

  16. 3. PMM withModelica: Architecture - Tier 1, 2 and 3

  17. 3. PMM withModelica: DESIGN - Structural Design Model

  18. 3. PMM withModelica: VERIFICATION - SimulationBench

  19. Outline Property Model Methodology Modelica PMM withModelica Relatedwork Future work

  20. 4. Relatedwork Although we all side with the formal approach, there are 2 major differences between PMM and the related work. Above all else, PMM is a method: PMM is a MBSE methodthat complies with systems engineeringstandards, especially EIA 632 and ARP4754A. PMM is language- and tool-agnostic:PMM doesn’trequirelanguage invention or extension, itadheres to the principles of simplicity and parsimony avoiding the introduction of supplementary complicated features for end users – e.g three valued logic.

  21. Outline Property Model Methodology Modelica PMM withModelica Relatedwork Future work

  22. 5. Future work • We MUST… • Model other types of engineered systems such as discrete and hybrid systems. • Support additional systems engineering activities such as safety-reliability. • Address co-simulation issues to integrate simulation assets coming from various sources. • WeSHOULD… • Continue our case study by modelling finer-grained capabilities and operational scenarios. • We MAY… • Evaluate on demand other simulation languages and environment such as AMESIM.

  23. Property Model Methodology:a case study with Modelica Romain PINQUIÉ, PhD Student, Arts & MétiersParisTech, LSIS UMR CNRS 7296, France Patrice MICOUIN, PhD, Arts & MétiersParisTech, LSIS UMR CNRS 7296, France Philippe VÉRON, Full Professor, Arts & MétiersParisTech, LSIS UMR CNRS 7296, France Frédéric SEGONDS, Assistant Professor, Arts & MétiersParisTech, LCPI, France Presented at: TMCE16, Tools and Methods of Competitive Engineering, 09-13 May 2016, Aix-en-Provence, France 11th May, 2016 Property Model Methodology: a case study with Modelica

  24. BACK-UP SLIDES

  25. 1. PMM: A4-activity processthatembracessystems engineering principles

  26. 4. Relatedwork: Stimulus is a software, not a method! Stimulus is a tool, not a method! What about design?

  27. 4. Relatedwork: Why do it the easy way when you can do it the hard way?

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