Capella on the field: Model-based system engineering use cases

Transcription

1 Capella on the field: Model-based system engineering use cases EclipseCon Europe 2014 Ludwigsburg, October 29 th, 2014 Christophe Gatti (Thales Corporate Engineering) Matthieu Helleboid (Thales Corporate Engineering)

2 2 / Thales: Company Profile Collective intelligence for a safer world Whenever critical decisions need to be made, Thales has a role to play. In all its markets aerospace, space, ground transportation, defence and security Thales solutions help customers to make the right decisions at the right time and act accordingly. World-class technology, the combined expertise of 65,000 employees and operations in 56 countries have made Thales a key player in keeping the public safe and secure, guarding vital infrastructure and protecting the national security interests of countries around the globe. Employees 65,000 Global presence 56 countries Research and development 2.5 (workforce under management at 31 Dec. 2012) billion euros (approx. 20% of revenues) A balanced revenue structure Defence Civil 55 % 45 % Revenues in billion euros Shareholders (at 31 May 2013) Float 47 % of which employees 3% French State 27 % Dassault Aviation 26 %

3 3 / Thales : Markets we serve Dual markets Military & Civil AEROSPACE SPACE GROUND DEFENCE SECURITY TRANSPORTATION TRUSTED PARTNER FOR A SAFER WORLD

4 4 / Thales: A Wide Spectrum of Complex Systems N 1 worldwide N 2 worldwide N 3 worldwide Payloads for telecom satellites Rail signalling systems In-flight entertainment and connectivity Air Traffic Management Sonars Security for interbank transactions Military tactical radiocommunications Avionics Civil satellites Surface radars 14 billion in revenues

5 5 / Need for an Engineering Transformation Market Model-Based Systems Engineering Systems are more complex COTS are inadequate / Tool-vendors Do more cheaper and faster, with more constraints Better quality of developed systems: Integration, seamlessness, consistency, traceability Early validation Better productivity of engineering activities Collaborative engineering Best practice & know-how capitalization

6 6 / Method and dedicated tooling Model-Based Engineering Method for Architectural Design Graphical Modelling Workbench supporting Arcadia

7 7 / Arcadia : MBSE Scalable and Adaptable Method How to improve quality, productivity, agility and flexibility of overall engineering?

8 8 / Arcadia : MBSE Scalable and Adaptable Method How to improve quality, productivity, agility and flexibility of overall engineering? Eco-system wide collaboration A single architecture reference

9 9 / Arcadia : MBSE Scalable and Adaptable Method How to improve quality, productivity, agility and flexibility of overall engineering? Eco-system wide collaboration A single architecture reference Complexity mastering Multi-level engineering Separation of concerns What the users of the system need to accomplish What the system has to accomplish for the users How the system will work to fulfill expectations How the system will be developed and built SOLUTION ARCHITECTURAL DESIGN NEED UNDERSTANDING

10 10 / Arcadia : MBSE Scalable and Adaptable Method How to improve quality, productivity, agility and flexibility of overall engineering? Eco-system wide collaboration A single architecture reference Complexity mastering Multi-level engineering Separation of concerns Concurrent engineering Integrated specialty engineering Early validation Trade-off analysis ViewPoints etc. Product Line Human Factors Performance Security Safety Evaluation Rules Solution Architecture

11 11 / Arcadia : MBSE Scalable and Adaptable Method How to improve quality, productivity, agility and flexibility of overall engineering? Eco-system wide collaboration A single architecture reference Complexity mastering Multi-level engineering Separation of concerns Concurrent engineering Integrated specialty engineering Early validation Trade-off analysis Mastering transitions Information refinement Consistency maintenance Multi-level impact analysis

12 12 / Capella : A Field-Proven Architecture Modelling Workbench Guidance [Embedded methodological browser] Complexity management [Abstraction via computed information] Productivity tools [Automated transitions and diagram creation accelerators] Model Analysis & Navigation [Model validation, semantic browser] Multi-criteria analysis [Viewpoints and management framework] Currently being Open Sourced First operational deployments in 2009 Now used on all major engineering projects

13 13 / Capella: Embedded Methodological Guidance

14 14 / Concretely Feedback and use cases

15 15 / Use Case 1 Use Case 1: Managing System Design Complexity

16 16 / Managing System Design Complexity Context MBSE usage Issues in the latest phases of operational validation Very good design documents, but in silos 1 man month to reverse a first level of detail in a model, based on existing documents First time overall views have been available Good support for discussion Visualization of transverse functional chains Still insufficient to solve low-level issues: Same MBSE approach should have been used with subsystems

17 17 / Managing System Design Complexity 275 Functions (230 Leaves) 578Functional Exchanges between leaf functions 5 levels of decomposition

18 18 / Managing System Design Complexity Contextual Diagrams: Low-level internals, high-level neighboorhood

19 19 / Managing System Design Complexity Challenge: Build and maintain simplified views X 40 How to analyze transverse topics? How to have transverse overviews?

20 20 / Managing System Design Complexity Computed Diagrams: High-level Functions, Low-level Exchanges

21 21 / Managing System Design Complexity MODEL F1 B A B B A A F2 F21 F22

22 22 / MODEL F1 A B B A B A F2 F21 F22 Managing System Design Complexity VIEW F1 F2 F21 F22 Children of F21 and F22 not displayed Ports on F21 and F22 are graphically computed

23 23 / MODEL F1 A B B A B A F2 F21 F22 Managing System Design Complexity VIEW F1 Children of F2 not displayed F2 Ports on F2 are graphically computed

24 24 / MODEL F1 A B B A B A F2 F21 F22 Managing System Design Complexity VIEW F1 Children of F1 and F2 not displayed Ports on F1 and F2 are graphically computed F2

25 25 / Managing System Design Complexity MODEL F1 B A B B A A F2 F21 F22 VIEW Tag-based simplification mechanism Computed graphical simplifications free engineers from tedious and error-prone maintenance of abstraction levels F1 A A B A A B A A B F2

26 26 / Managing System Design Complexity: Global Overview End-to-end visualization of Functional Chains

27 27 / Lots of Other Different Use Cases And more to come!

28 28 / Use Case 4 Use Case 4: Model-driven IVV

29 29 / Functional Chains Driving Engineering Activities MODEL System Analysis Functional Chains Logical Architecture Functional Chains Physical Architecture Functional Chains LINKS REQS FUNCTIONAL CHAINS Req Chain Mode R11 CF-1 E0 R20 CF-3 CF-2 TEST PROCEDURES IVVQ Management E2.1 Test_1 {R11, } MDR-CF-1 Test_2 {R20,R21, } MDR-CF2 Requirements are clarified with Functional Chains Test Procedures are linked to Functional Chains

30 30 / IVV Strategy: Requested Versions / Developed Versions Define operational content expected for each project milestone Define components versions and content Deduce functional content and components to be delivered

31 31 / Mastering System & Components Configurations Blue: Software Yellow: hardware

32 32 / IVV in Progress : Mastering Iterations Red: Delayed, missing Grey: expected in further version

33 33 / IVV in Progress: Comparing Versions Release management viewpoint: Automated visualization of versions

34 34 / IVV in Progress: Comparing Versions Developed Version 1 Available elements in BLUE

35 35 / IVV in Progress: Comparing Versions Developed Version 2 Available elements in CYAN

36 36 / IVV in Progress: Comparing Versions Developed Versions 1 & 2 Common available elements in GREY

37 37 / IVV in Progress: Ups and Downs Compare Planned vs Developed versions

38 38 / Description of System Architecture Implementation of the ISO/IEC Std MBE: Model-Based Engineering

39 39 / Instantiation of MBE Workbenches with Kitalpha Produces MBE Workbench Runs examples «Classic» DSMLs OSSed in and its Viewpoints for System Engineering

40 40 / Maturity Levels of Viewpoint Development Development Aspects Viewpoint Data model User Interfaces Diagrams Services Validation rules Transformation rules Semantic browser Connectors Documentation Continuous integration... Manual Development Generators DSL Expertise of multiple tools Costly development (duration, errors ) Unsystematic Productivity and quality improvement Not integrated solution Abstraction of technical details Integrated solution Larger adoption

41 41 / Kitalpha: Development and Execution Environments Development Execution MBE workbench

42 42 / Focus on Kitalpha Viewpoint DSL Abstract Syntax Concrete Syntax packaging Deployable viewpoint installation Use Development

43 43 / Kitalpha Viewpoint DSL: Example ComponentSampleAF ComponentSampleFramework inherits ComponentSample uses uses uses ComponentSample QualityAssessment ComponentSample Performance ComponentSample Safety uses Extensions Architecture Description ComponentSample SafetyPattern

44 44 / Kitalpha Viewpoint DSL: Example Data Generation configuration Services Continuous integration User interfaces Diagrams

45 45 / Kitalpha Viewpoint DSL: Example import external " Data ComponentSampleQualityAssessment.data { Class QualityAssessment { description: "Quality Assessment" icon: "QualityAssessment.png" extends ComponentSample.AbstractComponent superclass external ComponentSample.ComponentElement Attributes: maturitylevel type ecore.estring confidencelevel type ecore.eenumerator values ( "Not Assessed", Low, Medium, High ) assessed type ecore.eboolean Associations: basedon refers [0,*] QualityAssessment context refers [0,*] external ComponentSample.ComponentElement measures contains [0,*] QualityMeasure } Class QualityMeasure { icon: "QualityMeasure.png" superclass external ComponentSample.ComponentElement Attributes: criterion type ecore.estring measurevalue type ecore.eint } } Extension

46 46 / Kitalpha Viewpoint DSL: Example

47 47 / Kitalpha Viewpoint DSL: Video Video

48 48 / Capella OSS Status Phase 1 : Get OSSing competence & prepare environment Phase 3 : OSSing Capella IP Review in progress Phase 2 : OSSingMDE technical components & solutions,etc. (incl. ) «Built upon» «Hosted by»

49 49 / Thank you for your attention! Any Questions? Thank you! Capella Open Source Project Contacts Matthieu.helleboid@thalesgroup.com Christophe.gatti@thalesgroup.com