IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Model-Based Testing of Embedded Systems Exemplified for the Automotive Domain

Model-Based Testing of Embedded Systems Exemplified for the Automotive Domain
View Sample PDF
Author(s): Justyna Zander (Fraunhofer Institute FOKUS, Germany)and Ina Schieferdecker (Fraunhofer Institute FOKUS & Technical University of Berlin, Germany)
Copyright: 2010
Pages: 37
Source title: Behavioral Modeling for Embedded Systems and Technologies: Applications for Design and Implementation
Source Author(s)/Editor(s): Luís Gomes (Universidade Nova de Lisboa, Portugal)and João M. Fernandes (Universidade do Minho, Portugal)
DOI: 10.4018/978-1-60566-750-8.ch015

Purchase

View Model-Based Testing of Embedded Systems Exemplified for the Automotive Domain on the publisher's website for pricing and purchasing information.

Abstract

The purpose of this chapter is to introduce the test methods applied for embedded systems addressing selected problems in the automotive domain. Model-based test approaches are reviewed and categorized. Weak points are identified and a novel test method is proposed. It is called model-in-the-loop for embedded system test (MiLEST) and is realized in MATLAB®/Simulink®/Stateflow® environment. Its main contribution refers to functional black-box testing based on the system and test models. It is contrasted with the test methods currently applied in the industry that form dedicated solutions, usually specialized in a concrete testing context. The developed signal-feature-oriented paradigm developed herewith allows the abstract description of signals and their properties. It addresses the problem of missing reference signal flows and allows for a systematic and automatic test data selection. Processing of both discrete and continuous signals is possible, so that the hybrid behavior of embedded systems can be handled.

Related Content

Babita Srivastava. © 2024. 21 pages.
Sakuntala Rao, Shalini Chandra, Dhrupad Mathur. © 2024. 27 pages.
Satya Sekhar Venkata Gudimetla, Naveen Tirumalaraju. © 2024. 24 pages.
Neeta Baporikar. © 2024. 23 pages.
Shankar Subramanian Subramanian, Amritha Subhayan Krishnan, Arumugam Seetharaman. © 2024. 35 pages.
Charu Banga, Farhan Ujager. © 2024. 24 pages.
Munir Ahmad. © 2024. 27 pages.
Body Bottom