One Click from Model to Reality
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- Samuel Oskar Dresdner
- vor 10 Jahren
- Abrufe
Transkript
1 One Click from Model to Reality Joint work with Markus Herrmannsdoerfer (TUM), Stefan Kugele (TUM), Michael Tautschnig (TU Darmstadt), and Martin Wechs (BMW) Symposium on Automotive and Avionics Systems 2009
2 Contents Introduction Problem statement and vision Integrated modeling using the Component Language (COLA) Integrated tool Integrated development process Case study Future work
3 Introduction More that 98% of all microprocessors are assembled in embedded systems In many cases they form safety-critical control systems Faults of any kind may be fatal Lead to large warranty costs or even human injury Embedded System pose high demands on: Reliability, Robustness, and Safety Model-driven development (MDD) Is an emerging paradigm and a de-facto standard Helps tackling the enormous complexity of these systems
4 Introduction 40% of a car s costs are due to electronics / software. The software represents 50-70% of development costs of an ECU (electronic control unit) Premium class cars contain up to 100 ECUs connected by various bus systems (e.g. CAN, FleyRay, MOST, LIN,...) Increasing system complexity Very complex dependencies Product costs are a major issue
5 The Problem Lots of different MDD approaches have been proposed A multitude of tools has been implemented for different abstraction layers/ development stages Most of these approaches/tools are not interoperable Conversion of modeling artifacts is error prone Non-future-proof tool adapters Incompatible semantics Implementation overhead Optimizations are only applied locally, not globally
6 Technische Universität München The Problem Requirements Adapter Adapter Tool A Adapter Tool D Tool C X Manual conversion Manual conversion Tool B
7 The Vision Integrated Language Integrated Tool Integrated Process Case Study
8 The Vision Integrated Language Integrated Tool Integrated Process Case Study
9 Integrated Modeling in COLA Intended for automotive systems development Core is a data-flow language similar to Lustre or Simulink COLA allows an integrated development approach Requirements definition Functional modeling Hardware platform modeling (deployment-oriented) Partitioning and distribution specification Refinement and reuse ease modling of complex systems Graphical editors and code generators have been implemented
10 COLA Architectural Layers Requirements Feature Architecture Logical Architecture Technical Architecture ECU ECU ECU ECU ECU Implementation
11 COLA Architectural Layers Feature Architecture Logical Architecture Technical Architecture Sub-unit Channel Clustering Network Feature Tree Feature Dependency Cluster Allocation Feature Bus Automaton State Transition ECU Hardware Topology
12 COLA (Core) Graphical Syntax on in >= 30 function off Basic blocks arithmetical functions (+, -, *, /) Boolean operators (,, ) comparison operators (=,!=, <, <=,...) Data-flow networks in <= 30 Communication between typed ports via channels sum Delays are used to store data for a clock tick + Mode-automata express distinct system behaviors (e.g. ignition on, ignition off) decouple the modeling process
13 The Vision Integrated Language Integrated Tool Integrated Process Case Study
14 Integrated Tool client network LAN/WAN backbone
15 Integrated Tool Front-end
16 The Vision Integrated Language Integrated Tool Integrated Process Case Study
17 Integrated Development Process
18 COLA Clustering Clustering may be either manual or automatic Allocation of clusters onto ECUs is calculated depending on NFRs Connecting channels are mapped to communication middleware C1 ECU 1 C1 ECU n C4 C4 C2 C2 C3 C 3 Bus
19 System Distribution - Dependencies
20 Calculating System Schedules f m 1 f c 1 f c 2 f c 3 f c 4 f c 5 f c 6 f m 1 f c 1 t n t n+1 f m 1 f c 2 t n t n+1 f m 1 f c 3 t n t n+1 f m 1 f c 4 f c 5 f c 6 t n t n+1 Schedule 1 Schedule 2 Schedule 3 Schedule 4
21 Code Generation <<include>> C Files C Files C Files XML File ECUs
22 Communication at Runtime Inter-cluster channels are mapped to logical middleware addresses Middleware also takes care of clusters internal state Interfacing sensors and actuators is also done by middleware Adress 1 is reserved for global clock C1 #2 #5 #1 #2 #3 #4 #5 #6 #7 #8 #9... C4 #3 C2 ECU1 ECU2 ECU3 C3 #4
23 Model-level Debugging
24 Model-level Debugging
25 The Vision Integrated Language Integrated Tool Integrated Process Case Study
26 Technische Universität München Case Study
27 Case Study In Action
28 Conclusion and Future Work MDD is the state-of-the-art in the design of cyber physical systems An integrated language along with proper tool-support is crucial for: system quality traceability verification The presented approach worked well for our case study Yet it is to prove, whether it scales for an actual automotive system A future version of our code generator shall produce AUTOSAR compatible code
29 Thank you for your attention! Q & A
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