Automated Assessment of E/E-Architecture Variants Using an Integrated Model- and Simulation-Based Approach

Bucher, Harald; Neubauer, Kevin; Becker, Jürgen

doi:10.4271/2019-01-0111

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…3 (Section III-B) suggest that MBT approaches declined in the years after 2017. Recently published approaches, such as those of Bucher et al [107], [108] or Neubauer et al [109], primarily deal with topics, such as the simulative verification/validation of driving assistance systems. This is typically done using suitable simulation tools to simulate vehicles, their functionalities, and the surrounding traffic.…”

Section: Discussionmentioning

confidence: 99%

“…In this way, links are created between the layers of the logical, behavioral, and hardware-related architecture to conduct simulations across multiple architecture layers. In [108], this approach is employed in a MiL environment using an E/E architecture example, which consists of several ECUs, such as RADAR, Camera, and Powertrain, as well as CAN bus communication.…”

Section: ) Simulation-based Approachesmentioning

confidence: 99%

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Survey of Model-Based Security Testing Approaches in the Automotive Domain

2023

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Modern connected or autonomous vehicles (AVs) are highly complex cyber-physical systems. As a result of the high number of different technologies and connectivity features involved, testing these systems to identify security vulnerabilities is a big challenge. Security testing techniques, such as penetration testing, are often manual methods that are applied comparatively late in the vehicle development process. Thus, vulnerabilities are only detected late or after development, leading to higher costs and more patching effort. To reduce the amount of testing resources in general and enable early and automated testing, modelbased testing methods have been established in several domains, such as information technology and the automotive domain. The transfer of model-based testing approaches to automotive security testing could help to detect vulnerabilities earlier than other, manual methods by automatically generating, executing, or simulating security tests. In this study, we review the literature on model-based test approaches in the automotive domain. First, we consider security-independent approaches to obtain an overview of applied models, formalisms, test selection criteria, and test generation techniques. In addition, we investigate, whether and how model-based approaches are applied for automotive security testing. Overall, we identified 63 publications related to model-based testing and 29 publications with regard to model-based security testing. The aim of this study is to provide an overview and direct comparison between these approaches. In this manner, the state of model-based security testing in the automotive domain, current challenges, and potential research areas are determined. INDEX TERMSAutomotive security, model-based testing, model-based security testing.

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Section: Discussionmentioning

confidence: 99%

Section: ) Simulation-based Approachesmentioning

confidence: 99%

Survey of Model-Based Security Testing Approaches in the Automotive Domain

2023

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“…To make use of the simulated results in PREEvision in order to perform further analysis and to relate the results with the original EEA model artifacts, a feedback approach is applied. The approach relies on OSGi [19] and is further described in [17]. We reuse and extend the approach by implementing a listener for modal model controllers focusing on the feedback of information about the simulated state machines such as timestamps, current state, previous state, output and variable actions.…”

Section: Simulation Data Feedbackmentioning

confidence: 99%

“…In combination with mappings from the LA layer to lower layers they provide the connection of the behavioral blocks of the BLA to domain-specific information at lower layers enabling the cross-domain simulation of the underlying network communication or even electric circuits [16] in an aspect-oriented manner. A variant-sensitive synthesis is also implemented supporting the analysis of architecture variants [17].…”

Section: Introductionmentioning

confidence: 99%

Cross-Layer Behavioral Modeling and Simulation of E/E-Architectures using PREEvision and Ptolemy II

Bucher¹,

Becker²,

Kamm³

2019

SNE

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In this paper, an approach for integrated behavior modeling and simulation within model-based electric/electronic-architecture (EEA) descriptions is presented. It leverages actor-oriented and UML state chart behavior modeling to address complex reactive systems. A key contribution is the aggregation of cross-layer behavior specified at the logical function architecture layer and at the hardware layer together with further properties of the EEA like the current consumption of electronic control units (ECUs) and the underlying network topology. The EEA and behavior modeling is done in the common industry tool PREEvision. Using these static descriptions, a unified simulation model is synthesized and executed using Ptolemy II, which extends a previously developed approach. In addition, a concept to feed back the simulation data into PREEvision is briefly described e.g., to further evaluate the gained results. Finally, a proof-of-concept is presented using an Adaptive Cruise Control application.

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