Developing AUTOSAR Compliant Embedded Software · AUTOSAR capabilities out-of-the-box. Use one AUTOSAR workflow (Top-Down/Bottom-Up) that best support your workflow and AUTOSAR concepts

1© 2015 The MathWorks, Inc.

Developing AUTOSAR Compliant

Embedded Software

Senior Application Engineer

Sang-Ho Yoon

2

Agenda

AUTOSAR Compliant Code Generation

– AUTOSAR Workflows

– Starting from Software Component Descriptions in ARXML files

(Top-Down Approach)

– Starting from Simulink (Bottom-up Approach)

Verification of AUTOSAR ASWC with Model

Verification of AUTOSAR ASWC for Generated Code


AUTOSAR Compliant Code Generation

4

What is AUTOSAR?

AUTOSAR® (AUTomotive Open

System ARchitecture) is an

open and standardized

automotive software

architecture

Partnership consisting of more

than 140 companies from the

global automotive industry

Source: AUTOSAR, status 04.01.2011

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What is AUTOSAR?

3-layered Architecture

Behavior Modeling& Code

Generation

Software Architecture Definition

BSW Configuration& RTE Generation

Target-independent application

development through an RTE and

standardized interfaces

6

MathWorks AUTOSAR Approach

• Code-generation through MappingNo separate

AUTOSAR Blocksetneeded

• Simulink for developing behavior

• Import and Export of SW Component Description Files (ARXML)

AUTOSAR Software Component

Approach with Simulink

• Consistency between C-code and ARXML SW-C description files

Simultaneous generation of C-

code and ARXML-Files

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Support for AUTOSAR Workflows

Export ARXML Import/Update Simulink model

C CodeARXML

Generate

Integrate

8

Getting Started

Start with ARXML files

containing AUTOSAR

Component descriptions

(Top-Down approach)

Start with an existing

Simulink model

(Bottom-Up Approach)


Starting from Software Component

Descriptions in ARXML filesTop-Down Approach

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Top Down Workflow

ARXML

Import as new Simulink model Update existing Simulink model

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Importing ARXML Files

%Import ARXML Files

importerObj = arxml.importer('rtwdemo_autosar_multirunnables.arxml')

%Create new model with interfaces

model = importerObj.createComponentAsModel('/pkg/swc/ASWC');

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Design Controller from Requirement

Case Study : Seat Belt Reminder

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SBR Algorithm Model

Functional Requirements

SBR Model

15

Creating links between textual documents and model

objects

Tracing RequirementsModelSimulink Verification and Validation

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Requirements Traceability – ReportSimulink Verification and Validation

Requirements Report

provides screenshots of the

model and lists all the

associated requirements

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Simulate and Verify Algorithms

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Import with Internal Behavior

%Import ARXML Files

importerObj =

arxml.importer('rtwdemo_autosar_multirunnables.arxml')

%Create new model with interfaces and internal behavior

model =

importerObj.createComponentAsModel('/pkg/swc/ASWC', ...

'CreateInternalBehavior',true);

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Updating Existing Models from ARXML

Updated to V2.arxmlV1.arxml

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Update Existing Models from ARXML

%Import ARXML Files

importerObj = arxml.importer('rtwdemo_autosar_multirunnables_v2.arxml')

%Update existing model

importerObj.updateModel('ASWC')

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How about Legacy Code?

Use of Legacy Code Tool for introduction of existing C

code on Simulink models

specification

External C

Function

MATLAB code


Starting from SimulinkBottom-up Approach

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Application Layer

Virtual Functional Bus (VFB)

…AUTOSAR

Software

Component 1

AUTOSAR

Software

Component n

Overview: Model AUTOSAR Components

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Overview: Mapping Simulink to AUTOSAR

Application Layer

Virtual Functional Bus (VFB)

…AUTOSAR

Software

Component 1

AUTOSAR

Software

Component 2

AUTOSAR

Software

Component n

AU

TO

SA

RS

W-C

1

SW-CDescription

Data Elements of

AUTOSAR S/R Ports

Implemented with

Simulink I/O

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Mapping Simulink to AUTOSAR

Single Periodic Runnable-Entity

Implement with Top-level model

Ru

nn

ab

le1

AU

TO

SA

RS

W-C

1

SW-CDescription

26

Ru

nn

ab

le1

Ru

nn

ab

le2

AU

TO

SA

RS

W-C

1

SW-CDescription

Ru

nn

ab

le3

Overview: Mapping Multiple Entry points

Runnable-Entity Maps to Function-Call Inputs

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Step 0: Design and Simulate Algorithms

Functional Requirements

SBR Model

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Step 1: Select AUTOSAR Target

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Step 2: Launch AUTOSAR Configuration

>> rtwdemo_autosar_counter

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Step 3: Map Between Simulink-AUTOSAR with

Mapping Editor

View/Edit AUTOSAR Properties

Perform mapping of Simulink Entities to AUTOSAR in the Simulink Mapping view

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Editing AUTOSAR Properties

Add/Remove

AUTOSAR

Entities

Edit Properties of

AUTOSAR

Entities

Configure

ARXML options

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Mapping Inports to AUTOSAR Receiver Ports

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Map Outports to AUTOSAR Sender Ports

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Map Entry Point Functions for a Model

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Step4: Validate Configuration

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Step 5: Generate Code

Build model

Generates both C &

ARXML

Code uses RTE APIs for

Sender Receiver ports

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Flexibility to specify Packages


Verification of AUTOSAR ASWC with

Model

51Test Cases Signal Builder

Test Cases to Signal Builder

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Module Test-Harness

SBR Test-Harness

Test Cases

(Signal Builder)

SBR Model

(Model Block)

Output Check

(Assertion Block)

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Model Coverage ReportSimulink Verification and Validation

Coverage metrics identifies untested portions of your

model

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Improving Test SuiteSimulink Design Verifier

Generating tests to

reach coverage criteria

Test generation from model

Test inputs that ensure complete

coverage

Test Generation

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How about Coverage for Legacy Code

Software Component includes S-Function

for Legacy Code

External C

Function

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Coverage for C-code S-Functions

C code

Coverage

Model

Design

S-Function


Verification of AUTOSAR ASWC for

Generated Code

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Compiled C Code

S-Function(Windows DLL)

Code

Generation

Execution

• Host/Host

• Nonreal-time

Software-in-the-Loop (SIL) Testing:Verify Production Controller with Software-in-the-loop

59Production Processor

Code

Generation

Execution

• Host/Target

• Nonreal-time

Processor-in-the-Loop Testing:Verify Production Controller with Processor-in-the-loop

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Verification with SIL/PIL

Support for PIL with AUTOSAR target

Profile code and measure execution time on

target


Formal Verification of Generated Code

with Polyspace

Can you prove absence of run-time errors?

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Arithmetic errors– Found in (code)

Overflows, division by zero, bit-shifts, square root of negative numbers

– Caused by (model)

Faulty scaling, changes in or unknown calibrations, untested data ranges coming out of a subsystem into an arithmetic block

Memory corruption– Found in (code)

Out of bound array indexes

Pointer arithmetic– Caused by (model)

Array manipulation in Stafeflow

Hand-written look-up table functions

Data truncation– Found in (code)

Overflows

Wrap around– Caused by (model)

Saturations leading to unexpected data flow inside the generated code

Coding errors– Found in (code)

Non initialized data

Dead code leading to unreachable transitions or states

– Caused by (model)

Faulty Stateflow programming

Runtime Errors

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CATEGORY OF STATIC ANALYSIS OF USING

TOOLS

Compiler Warnings

Bug Findings Formal Methods

Code Metrics, and Coding Rules

(No False negative)(False negative)

Error Prevention

Error Detection

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Polyspace PRODUCTS

Compiler Warnings

Bug Findings Formal Methods

Code Metrics, and Coding Rules

(No False negative)(False negative)

Polyspace Bug Finder

Polyspace Code Prover

Polyspace Bug Finder Polyspace Code Prover

Error Prevention

Error Detection

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PolyspaceFormal Methods based Static Code Analysis

Exhaustively verify code

– Detect and prove absence of runtime errors

– Precisely determines and propagates variable ranges

Languages supported

– C, C++, and Ada

Verify SW robustness

– Analyze for full range

operating conditions

OR

– Specified ranges of

parameters and inputs

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Fixing the Runtime Error in the DesignTrace and Fix Using PolySpace Model Link SL

May Overflow

(establish traceability between

PolySpace analysis and model)


Formal Verification in Design phase

with Simulink Design Verifier

Is it possible to verify early in “Design”

phase?

Can you prove your design always satisfies

requirements?

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Identifying Design Errors EarlySimulink Design Verifier

Static Run-Time Error Detection

– Automatic identification of hard-to-find design inconsistencies in

the model without running simulation

Supported detecting types of errors

– Dead logic

– Integer overflow

– Division by zero

– Range violation

– Assertion violation

– Out of bound array access

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Verifying Design Against RequirementsSimulink Design Verifier

Algorithm

(System)

Functional and

Non-Functional

Requirement

informal formal

1

Formal model

(System)

Formal Property2

3Improve algorithm,

or requirements

Formal

Methods

Engine

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Example of Properties

Simple True / False– Simple logic blocks

– Truth table

Temporal logic– Temporal Logic blocks (part of SLDV demo)

Example of using basic templates as building blocks for complex property.

– Imply blocks (part of SLDV blockset) ~A or B

– Stateflow / Embedded MATLAB Functions

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Summary

Simulink and Embedded Coder provide extensive

AUTOSAR capabilities out-of-the-box.

Use one AUTOSAR workflow (Top-Down/Bottom-Up)

that best support your workflow and AUTOSAR

concepts

Take advantage of Production Code Generation to

accelerate your AUTOSAR projects while reducing risk

and improving quality.

Various Model-Based Verification methods can also be

applied to AUTOSAR ASWC development.

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Documents

Developing AUTOSAR Compliant Embedded Software · AUTOSAR capabilities out-of-the-box. Use one AUTOSAR workflow (Top-Down/Bottom-Up) that best support your workflow and AUTOSAR concepts