DOCSLIB.ORG

Tpt Test Design and Test Generation

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Tpt Test Design and Test Generation TPT IN A NUTSHELL TPT TEST DESIGN DASHBOARD ASSESSMENT TRACEABILITY OF TESTING SAFETY TPT is a tool for functional testing of embed- AND TEST User interfaces can be designed for expe- OF TESTS AND REQUIREMENTS AND SYSTEMS PikeTec GmbH ded software interfacing a huge number of riments with a System under Test. Manual standard development tools. GENERATION validation, test observation and interaction REPORTING TEST CASES TPT supports qualified testing and Waldenserstr. 2 - 4 are possible. verification of safety related systems. 10551 Berlin | Germany TPT is suitable for all development phases. Expressing test cases with TPT is both, TPT supports fully automated assessment TPT supports analysis and coverage Tel. +49 30 394 096 830 TPT can be used for MiL, SiL, PiL, HiL powerful and easy to handle. The Dashboard is a powerful feature and documentation of test results including examination of requirements and tests. Safety standard directives can be satisfied Mail. [email protected] and in vehicles. of TPT for many reasons: Requirements can be imported from while testing with TPT up to the highest EMBEDDED TESTING Use automatons for structuring test phases: several formats and tools. safety level. Related standards are: www.piketec.com Back-to-Back testing with relative Tests can be created graphically by the Dashboards can be used for exper- and absolute tolerances STARTS HERE user or generated automatically. INIT imental testing long before test design Requirements can be analyzed, linked ISO 26262 light on Pass and fail criteria Dashboards can also be used to test cases and reported along with IEC 61508 IF Test phase 2 Powerful signal pattern The tests are executed, assessed and bright changing light together with automated tests the tests. After requirement changes DO 178C matching algorithms documented completely automatically. and allow visual validation and the impact on related tests is highlighted EN 50128 IF Test phase x interactive changes of tests. Powerful signal viewer for browsing as “needs to be reviewed”. Qualified tests of safety related systems dark switch off test and measurement data Dashboard interactions can TPT supports the following are also supported by TPT according Assessments allow in-depth checking be recorded as TPT tests required testing methods: to safety standards such as ISO 26262, Simple intuitive support of signal and reporting of requirements fulfillment. It is extremely simple to use IEC 61508 etc. stimulation, embedded measurement Requirements based testing data as well as control flow features. TEST Interface testing REQUIREMENT CASE 1 Fault injection testing 1 Boundary testing Back-to-back testing TEST REQUIREMENT CASE Equivalence class testing 2 SIL HIL 2 Coverage analysis TEST PikeTec provides project-specific REQUIREMENT CASE 3 3 qualification support. Logical checks and temporal conditions REQUIREMENT 4 Rule based examination MIL PIL Requirements based analysis TPT comes with smart automatic TPT Assessment scripting language test case generation tools such as: allows development of custom rules and libraries. Test case generation for equivalence class coverage Highly configurable test reports AUTOMOTIVE TESTING Test case generation for test model coverage Test case generation for Simulink/ TargetLink model coverage (TASMO) Test case generation based on experimental or measurement data TESTING SIMULINK TESTING ASCET TESTING OF TESTING C-CODE PIL TESTING HIL TESTING VEHICLE TESTING FURTHER TEST MODELS SYSTEMS AUTOSAR C-code can be tested using TPT TPT has a close integration with the TPT supports test execution on different TPT tests can be even used in vehicles on EXECUTION on a Windows PC. Universal Debug Engine (UDE) of PLS. Hardware-in-the-Loop systems. proving grounds. TPT communicates with Testing Simulink models with TPT is very ASCET models can be tested with TPT SOFTWARE the driver and the vehicle controllers. FEATURES easy. Every executable Simulink, Stateflow in ASCET or based on generated C-code. Features: Supported architectures: Supported HiL systems: and TargetLink model can be tested with TPT supports the test of AUTOSAR Features: Real time testing on real time architectures Generation of a test harness that Testing and debugging of AURIX, dSpace HiL TPT. No matter if the model has two signals Features: software components. The application connects your C-code to TPT TriCore, Power Architecture, Cortex, Automation and remote control of Closed loop reactive testing or 2000 signals. No matter if the model layer is isolated from the underlying ETAS Labcar Automatic analysis of the System ARM, XE166/XC2000, XScale, SH-2A, application tools like INCA and CANape Interfaces to many development tools contains busses, triggered subsystems, basic software components. Support of multidimensional arrays, Concurrent iHawk under Test and its parameters C166, XilinX SoCs, Freescale MPC family, model referencing etc. structures, maps, and curves Communication to driver by acoustic Open API for customer and many more microcontrollers Simulink Realtime Automatic creation of a test harness Features: Automatic scaling of fix point data types and visual commands specific workflow integrations Support of multi-core-targets NI Veristand Back-to-back testing of physical Support of common compilers Direct access to CAN signals Continuous Integration Server Features: Test of application SWCs CANoe and implementation model such as Visual Studio, GCC, BCC, LLVM support (Jenkins) Automatic Simulink model interface Test of compositions (even INCA and CANape Use case example: Module and integration testing Code coverage measurement including Variable and data support: Batch mode (silent) test execution analysis (including model parameters) hierarchical) with delegation Customer specific HiL solutions Running tests with periodic MC/DC utilizing CTC++ Access to variables on target Driving commands by TPT to assist Sophisticated test and Automatic test harness generation and assembly connectors and asynchronous tasks Support of function calls and (symbolic and address based) driver to achieve certain driving state measurement data viewer Back-to-back testing of MiL, SiL and PiL AUTOSAR compatibility mode support Additional HiL features: Support of read/write messages function mocks as part of TPT tests Access to local variables of functions Reconfiguration/parameterization Test management support with Support of all data types (primitives, Automated model and code coverage Real-time testing of the controller interfaces to DOORS, Reqtify, Recording of local variables arrays, records) and scaling Debugging while testing Access to individual bits analysis via V&V toolbox, TargetLink TestLink, TestRail Changing parameters, system Reactive closed loop testing Measurement and test assessment code coverage, CTC++, or GCOV Automatic test harness generation Access to registers Response times < 100µs Version control support constants and constants based on software C-code and Support of multidimensional arrays, Management of test data while driving Debugging while testing utilizing Subversion Debugging using the ASCET Automated measurement and Reporting of test results Customization via M-Scripting ARXML information structures, maps, and curves calibration during test execution Customer specific plugin development experimental environment Support of sender/receiver-ports, Analysis of model-internal signals for seamless workflow integration client/server-ports, inter-runnable Control flow features: Fault simulation Automatic test case generation variables, PIMs, mode declaration Customer specific test execution for model coverage (TASMO) Direct access to control flow groups, exclusive areas, explicit and platform development Parameter adaptation implicit communication Testing of isolated functions and code Synchronization with TPT Test execution on a PC at breakpoints Invocation of UDE macros.
Load more

Recommended publications
  • PCLTA-21 PCI Network Adapter Models 74501, 74502, 74503, and 74504
    PCLTA-21 PCI Network Adapter Models 74501, 74502, 74503, and 74504 ▼ Universal 32-bit PCI adapter card for LONWORKS® networks for PCs with 3.3V or 5V PCI ▼ Plug-and-play network driver compatible with MicrosoftWindows® 98/2000 and Windows XP ▼ Downloadable firmware allows updates without accessing or changing hardware ▼ Integral FT 3150® Free Topology Smart Transceiver, RS-485, TPT/XF-78, or TPT/XF-1250 transceiver ▼ LNS® Network Services Interface (NSI) supports LNS applications ▼ Layer 5 MIP for use with OpenLDV™ driver Description ▼ CE Mark, U.L. Listed, cU.L. Listed The PCLTA-21 Network Adapter is a high-perform- ance LONWORKS interface for personal computers equipped with a 3.3V or 5V 32-bit Peripheral The NSI mode of the PCLTA-21 adapter is used Component Interconnect (PCI) interface and a compati- with applications based on the LNS network operating system such as the LonMaker Tool, or the LNS DDE ble operating system. Designed for use in LONWORKS control networks that require a PC for monitoring, Server. managing, or diagnosing the network, the PCLTA-21 The MIP mode of the PCLTA-21 adapter is used with adapter is ideal for industrial control, building automa- applications based on OpenLDV. tion, and process control applications. The PCLTA-21 In both NSI and MIP modes, the adapter permits the adapter features an integral twisted pair transceiver, host PC to act as a LONWORKS application device, such downloadable memory, a network management inter- that the PC is running application-specific programs face, and plug-and-play capability with Microsoft while the adapter handles lower layer functions such as Windows 98/2000 and Windows XP.
    [Show full text]
  • Automated Annotation of Simulink Generated C Code Based on the Simulink Model
    DEGREE PROJECT IN COMPUTER SCIENCE AND ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2020 Automated Annotation of Simulink Generated C Code Based on the Simulink Model SREEYA BASU ROY KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Automated Annotation of Simulink Generated C Code Based on the Simulink Model SREEYA BASU ROY Master in Embedded Systems Date: September 25, 2020 Supervisor: Predrag Filipovikj Examiner: Matthias Becker School of Electrical Engineering and Computer Science Host company: Scania CV AB Swedish title: Automatisk Kommentar av Simulink Genererad C kod Baserad på Simulink Modellen iii Abstract There has been a wave of transformation in the automotive industry in recent years, with most vehicular functions being controlled electron- ically instead of mechanically. This has led to an exponential increase in the complexity of software functions in vehicles, making it essential for manufactures to guarantee their correctness. Traditional software testing is reaching its limits, consequently pushing the automotive in- dustry to explore other forms of quality assurance. One such technique that has been gaining momentum over the years is a set of verification techniques based on mathematical logic called formal verification tech- niques. Although formal techniques have not yet been adopted on a large scale, these methods offer systematic and possibly more exhaus- tive verification of the software under test, since their fundamentals are based on the principles of mathematics. In order to be able to apply formal verification, the system under test must be transformed into a formal model, and a set of proper- ties over such models, which can then be verified using some of the well-established formal verification techniques, such as model check- ing or deductive verification.
    [Show full text]
  • Systematic Testing of the Continuous Behavior of Automotive Systems
    Systematic Testing of the Continuous Behavior of Automotive Systems Eckard Bringmann Andreas Krämer DaimlerChrysler DaimlerChrysler Alt-Moabit 96a Alt-Moabit 96a 10559 Berlin, Germany 10559 Berlin, Germany +49 30 39982 242 +49 30 39982 336 [email protected] [email protected] ABSTRACT gap, the testing of automotive systems in practice focuses on In this paper, we introduce a new test method that enables the simple data tables to describe input signals or on script languages, systematic definition of executable test cases for testing the such as Visual Basic, Python or Perl, to automate tests. continuous behavior of automotive embedded systems. This Nevertheless, signals are still very difficult to handle in these method is based on a graphical notation for test cases that is not languages. Even worse, there is no systematic procedure to help only easy to understand but also powerful enough to express very testers reveal redundancies and missing, test relevant, aspects complex, fully automated tests as well as reactive tests. This new within their test cases. In other words, the selection of test data approach is already in use in several production-vehicle occurs ad hoc and is based on some use cases and typical extreme development projects at DaimlerChrysler and at some suppliers. scenarios but often does not cover all functional requirements of the system under test (SUT). Categories and Subject Descriptors Our new approach – which is called Time Partition Testing D2.5 [Software Engineering]: Testing
    [Show full text]
  • Lecture #4: Simulation of Hybrid Systems
    Embedded Control Systems Lecture 4 – Spring 2018 Knut Åkesson Modelling of Physcial Systems Model knowledge is stored in books and human minds which computers cannot access “The change of motion is proportional to the motive force impressed “ – Newton Newtons second law of motion: F=m*a Slide from: Open Source Modelica Consortium, Copyright © Equation Based Modelling • Equations were used in the third millennium B.C. • Equality sign was introduced by Robert Recorde in 1557 Newton still wrote text (Principia, vol. 1, 1686) “The change of motion is proportional to the motive force impressed ” Programming languages usually do not allow equations! Slide from: Open Source Modelica Consortium, Copyright © Languages for Equation-based Modelling of Physcial Systems Two widely used tools/languages based on the same ideas Modelica + Open standard + Supported by many different vendors, including open source implementations + Many existing libraries + A plant model in Modelica can be imported into Simulink - Matlab is often used for the control design History: The Modelica design effort was initiated in September 1996 by Hilding Elmqvist from Lund, Sweden. Simscape + Easy integration in the Mathworks tool chain (Simulink/Stateflow/Simscape) - Closed implementation What is Modelica A language for modeling of complex cyber-physical systems • Robotics • Automotive • Aircrafts • Satellites • Power plants • Systems biology Slide from: Open Source Modelica Consortium, Copyright © What is Modelica A language for modeling of complex cyber-physical systems
    [Show full text]
  • Introduction to Simulink
    Introduction to Simulink Mariusz Janiak p. 331 C-3, 71 320 26 44 c 2015 Mariusz Janiak All Rights Reserved Contents 1 Introduction 2 Essentials 3 Continuous systems 4 Hardware-in-the-Loop (HIL) Simulation Introduction Simulink is a block diagram environment for multidomain simulation and Model-Based Design. It supports simulation, automatic code generation, and continuous test and verification of embedded systems.1 Graphical editor Customizable block libraries Solvers for modeling and simulating dynamic systems Integrated with Matlab Web page www.mathworks.com 1 The MathWorks, Inc. Introduction Simulink capabilities Building the model (hierarchical subsystems) Simulating the model Analyzing simulation results Managing projects Connecting to hardware Introduction Alternatives to Simulink Xcos (www.scilab.org/en/scilab/features/xcos) OpenModelica (www.openmodelica.org) MapleSim (www.maplesoft.com/products/maplesim) Wolfram SystemModeler (www.wolfram.com/system-modeler) Introduction Model based design with Simulink Modeling and simulation Multidomain dynamic systems Nonlinear systems Continuous-, Discrete-time, Multi-rate systems Plant and controller design Rapidly model what-if scenarios Communicate design ideas Select/Optimize control architecture and parameters Implementation Automatic code generation Rapid prototyping for HIL, SIL Verification and validation Essentials Working with Simulink Launching Simulink Library Browser Finding Blocks Getting Help Context sensitive help Simulink documentation Demo Working with a simple model Changing
    [Show full text]
  • Automated Unit Testing in Model-Based Embedded Software Development
    Automated Unit Testing in Model-based Embedded Software Development Christoph Luckeneder1, Hermann Kaindl1 and Martin Korinek2 1Institute of Computer Technology, TU Wien, Vienna, Austria 2Robert Bosch AG, Gollnergasse¨ 15-17, Vienna, Austria Keywords: Automated Testing, Unit Tests, Model-based Development, Embedded Software, Safety-critical Systems, Automotive. Abstract: Automating software tests is generally desirable, and especially for the software of safety-critical real-time systems such as automotive control systems. For such systems, also conforming with the ISO 26262 standard for functional safety of road vehicles is absolutely necessary. These are embedded systems, however, which pose additional challenges with regard to test automation. In particular, the questions arise on which hardware platform the tests should be performed and by use of which workflow and tools. This is especially relevant in terms of cost, while still ensuring conformance with ISO 26262. In this paper, we present a practical approach for automated unit testing in model-based embedded software development for a safety-critical automotive application. Our approach includes both a workflow and sup- porting tools for performing automated unit tests. In particular, we analyze an as-is workflow and propose changes to the workflow for reducing costs and time needed for performing such tests. In addition, we present an improved tool chain for supporting the test workflow. In effect, without manually implementing each test case twice unit tests can be performed both in a simulation environment and on an open-loop test environment including the embedded platform target hardware. 1 INTRODUCTION The following support through a tool chain was planned: modeling and simulation of the resulting Automotive systems have more and more become software models, as well as model-based test automa- software-intensive systems, which include large-scale tion.
    [Show full text]
  • FMI Target for Simulink Coder, It Is Now Possible to Export Models from Simulink to Any Platform That Supports Fmus for Co-Simulation
    Supporting your vision Cross-Platform Modeling with FMI Target for Simulink® Coder™ Open technology standards for an integrated product lifecycle Engine Transmission Thermal EV/HV Chassis Compo- Models Models Systems Models nents Models Functional Mock-Up Interface The challenge for manufacturers of complex machinery that heavily rely on components from suppliers is the seamless exchange of data and specifications during the development. The same holds true for large corporates with multiple R&D departments at various locations using several development tools due to different objectives. Those challenges include different programming languages from the various tools, the lack of standardized model interfaces and the concerns for the protection of intellectual property. The development of the Functional Mock-up Interface (FMI) has enabled software-, model- and hardware-in-the-loop simulations with dynamic system models from different software environments. With the FMI Target for Simulink Coder, it is now possible to export models from Simulink to any platform that supports FMUs for Co-Simulation. FMI for Co-Simulation The goal is to couple two or more models with solvers in a co-simulation environment. The data exchange between subsystems is restricted to discrete communication points. The subsystems are processed independently from each other by their individual solvers during the time interval between two communication points. Master algorithms control the synchronization of all slave simulation solvers and the data exchange between the subsystems. The interface allows for both standard and advanced master algorithms, such as variable communication step sizes, signal extrapolation of higher order and error checking. FMI Target for Simulink® Coder™ FMI for Co-Simulation For the exchange of models across different platforms, the FMI Target for Simulink Coder enables the export of models from Simulink as FMUs for Co-Simulation.
    [Show full text]
  • Making Simulink Models Robust with Respect to Change Making Simulink Models Robust with Respect to Change
    Making Simulink Models Robust with Respect to Change Making Simulink Models Robust with Respect to Change By Monika Jaskolka, B.Co.Sc., M.A.Sc. a thesis submitted to the Department of Computing and Software and the School of Graduate Studies of McMaster University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Doctor of Philosophy (December 2020) McMaster University (Software Engineering) Hamilton, ON, Canada Title: Making Simulink Models Robust with Respect to Change Author: Monika Jaskolka B.Co.Sc. (Laurentian University) M.A.Sc. (McMaster University) Supervisors: Dr. Mark Lawford, Dr. Alan Wassyng Number of Pages: xi, 206 ii For my husband, Jason iii Abstract Model-Based Development (MBD) is an approach that uses software models to describe the behaviour of embedded software and cyber-physical systems. MBD has become an increasingly prevalent paradigm, with Simulink by MathWorks being the most widely used MBD platform for control software. Unlike textual programming languages, visual languages for MBD such as Simulink use block diagrams as their syntax. Thus, some software engineering principles created for textual languages are not easily adapted to this graphical notation or have not yet been supported. A software engineering principle that is not readily supported in Simulink is the modularization of systems using information hiding. As with all software artifacts, Simulink models must be constantly maintained and are subject to evolution over their lifetime. This principle hides likely changes, thus enabling the design to be robust with respect to future changes. In this thesis, we perform repository mining on an industry change management system of Simulink models to understand how they are likely to change.
    [Show full text]
  • Modeling and Simulation in Scilab/Scicos Mathematics Subject Classification (2000): 01-01, 04-01, 11 Axx, 26-01
    Stephen L. Campbell, Jean-Philippe Chancelier and Ramine Nikoukhah Modeling and Simulation in Scilab/Scicos Mathematics Subject Classification (2000): 01-01, 04-01, 11 Axx, 26-01 Library of Congress Control Number: 2005930797 ISBN-10: 0-387-27802-8 ISBN-13: 978-0387278025 Printed on acid-free paper. © 2006 Springer Science + Business Media, Inc. All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, Inc., 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaption, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed in the United States of America. (BPR/HAM) 9 8 7 6 5 4 3 2 1 springeronline.com Preface Scilab (http://www.scilab.org) is a free open-source software package for scientific com- putation. It includes hundreds of general purpose and specialized functions for numerical computation, organized in libraries called toolboxes that cover such areas as simulation, optimization, systems and control, and signal processing. These functions reduce consid- erably the burden of programming for scientific applications. One important Scilab toolbox is Scicos. Scicos (http://www.scicos.org) provides a block-diagram graphical editor for the construction and simulation of dynamical sys- tems.
    [Show full text]
  • A Modelica Power System Library for Phasor Time-Domain Simulation
    2013 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), October 6-9, Copenhagen 1 A Modelica Power System Library for Phasor Time-Domain Simulation T. Bogodorova, Student Member, IEEE, M. Sabate, G. Leon,´ L. Vanfretti, Member, IEEE, M. Halat, J. B. Heyberger, and P. Panciatici, Member, IEEE Abstract— Power system phasor time-domain simulation is the FMI Toolbox; while for Mathematica, SystemModeler often carried out through domain specific tools such as Eurostag, links Modelica models directly with the computation kernel. PSS/E, and others. While these tools are efficient, their individual The aims of this article is to demonstrate the value of sub-component models and solvers cannot be accessed by the users for modification. One of the main goals of the FP7 iTesla Modelica as a convenient language for modeling of complex project [1] is to perform model validation, for which, a modelling physical systems containing electric power subcomponents, and simulation environment that provides model transparency to show results of software-to-software validations in order and extensibility is necessary. 1 To this end, a power system to demonstrate the capability of Modelica for supporting library has been built using the Modelica language. This article phasor time-domain power system models, and to illustrate describes the Power Systems library, and the software-to-software validation carried out for the implemented component as well as how power system Modelica models can be shared across the validation of small-scale power system models constructed different simulation platforms. In addition, several aspects of using different library components. Simulations from the Mo- using Modelica for simulation of complex power systems are delica models are compared with their Eurostag equivalents.
    [Show full text]
  • OMG Sysphs: Integrating Sysml, Simulink, Modelica And
    OMG SysPhs: Integrating SysML, Simulink, Modelica and FMI | ref.: 3DS_Document_2015 | ref.: 2/13/20 | Confidential Information | Information | Confidential Nerijus Jankevicius Systèmes CATIA | No Magic Dassault © INCOSE IW, Torrance, Jan 27, 2020 3DS.COM System Model as an Integration Framework © 2012-2014 by Sanford Friedenthal SysML as co-simulation environment 35 Reduce and standardize mappings 4 Unified Physics Domain Flowing Substance Flow rate Potential to flow Electrical Charge Current Voltage Hydraulic Volume Volumetric flow rate Pressure Rotational Angular momentum Torque Angular velocity Translational Linear momentum Force Velocity Thermal Entropy Entropy flow Temperature flow rate = amount of substance/time flow rate * potential = energy / time = power The Standard : SysPhs •SysPhS - https://www.omg.org/spec/SysPhS/1.0 • SysML Mapping to SiMulink and Modelica • SysPhS profile • SysPhS library Simulation profile Modelica vs Simulink • Modelica • SiMulink • Language is better suited for physical • Language is well-suited for control modeling (plant) algorithMs • Object oriented approach for • TransforMational seMantics of signals modeling physical and signal processing coMponents (Mechanical, electrical, etc.) • Causal seMantics (inputs -> outputs) • Causal and A-Causal seMantics • Well integrated into the “MATLAB (equations) universe” • Open standard (of the textual • Widely used in industry (standard de- language) facto) • Multi tool support (although DyMola • Many existing tool integrations is doMinant) • Code generation to
    [Show full text]
  • TPT Tutorial
    Time Partition Testing Systematic automated testing of embedded systems PikeTec GmbH, http://www.piketec.com There are only a few tools for testing embedded systems in the automotive domain. Their function usually lies in the test-management or automation of tests by means of test scripts. Time Partition Testing (TPT) noticeably exceeds this. It combines a systematic and very graphic modelling technique for test cases with a fully automatic test execution in different environments and automatic test evaluation in a unique way. In doing so, TPT even supports testing of control systems. Time Partition Testing (TPT) was developed to graphically and compactly model tests of embedded systems – especially those with continuous behaviour –, to automate those tests and to offer a systematic that supports the tester in selecting an ideal amount of test cases. The intuitive graphic modelling technique for test cases, the mechanisms for the structuring of complex test problems, the simple integration in any test- bench and a number of additional interesting features makes TPT a unique test solution. All this has contributed to TPT becoming the central testing tool in a large number of development projects at car manufacturers and suppliers and has become an integral part of the process chain. Embedded systems TPT is specialized on testing embedded systems whose inputs and outputs can be represented as signals. Most control systems belong to this system class. The implementation language of the embedded system (e.g. ‘C’ code, C++, MATLAB/Simulink/Stateflow, Statemate or a combination of multiple languages) is irrelevant for TPT. TPT does not require a particular implementation language.
    [Show full text]