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    1. Friedrich-Alexander-Universität
    2. Technische Fakultät
    3. Department Informatik
    Friedrich-Alexander-Universität Computer Science 7 CS7
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    4. A⁵: Development Method for Driver Assistance Systems based on a Domain-Specific Language

    A⁵: Development Method for Driver Assistance Systems based on a Domain-Specific Language

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    • Previous Projects
      • A⁵: Development Method for Driver Assistance Systems based on a Domain-Specific Language
      • ACOOWEE – Activity Oriented Programming of Wireless Sensor Networks
      • ALF: Autonomous Localization Framework
      • Analysis Methods for Non-Markovian Models
      • BioNeting – Bio-inspired Networking
      • CoCar – Cooperative Cars
      • Concurrency in timed usage models for system testing in the automotive domain
      • Data Quality and the Control of Automotive Manufacturing
      • Decentralized organization of future energy systems based on the combination of blockchains and the cellular concept
      • Dienstgütegarantien für Ethernet in der industriellen Kommunikation
      • e-NUE: Co-Simulation of Electrified and Connected Vehicles
      • Energy System Analysis
      • Formal verification and validation of test methods for complex vehicle safety systems in virtual environments
      • GeTTeMo – Systematische Generierung von Testszenarien aus benutzungsorientierten Testmodellen
      • HISTORY – HIgh Speed neTwork mOnitoRing and analYsis
      • Hybrid Simulation of Intelligent Energy Systems
      • Integrated Modeling Platforms for Computer Infrastructures
      • MaTeLo (Markov Test Logic)
      • Mo.S.I.S. (Modular Software Engineering for Interoperative Systems)
      • Model support in design, test, and monitoring of image system architectures
      • Modeling of External and Internal Impact Factors on the Performance of Wireless Local Area Networks
      • monk-it – Efficient distributed monitoring, attack detection, and event correlation
      • p2p4wsn – Efficient Data Management in Mobile Sensor Networks using Peer-to-Peer Technologies
      • Pal-Grid: A Comprehensive Simulation Framework for the Palestinian Power Grid
      • Privacy in Vehicular Networks
      • ProHTA: Prospective Assessment of Healthcare Technologies
      • Q.E.D. (QoS Enhanced Development Using UML2.0 and TTCN-3)
      • Quality of Service of Networked Embedded Systems
      • Requirements oriented testing with Markov chain usage models in the automotive domain
      • ROSES – Robot Assisted Sensor Networks
      • Secure intelligent Mobility – Testarea Germany
      • Security and Quality of Service and Aspects in ZigBee-based Wireless Communication
      • Self-organization of SN-MRS systems
      • Sensitivity Analysis of Queueing Networks
      • SkyNet – Communicating Paragliders
      • Smart Grid Services
      • Smart Grid Solar
      • Software-in-the-Loop Simulation and Testing of Highly Dependable Distributed Automotive Applications
      • Support for inter-domain routing and data replication in virtual coordinate based networks
      • SWARM (Storage With Amply Redundant Megawatt)
      • Telematics Services in Hybrid Networks
      • Transmission of Safety-Relevant Sensor Data in Intra-Car Communication Systems
      • Veins 1.0 – Vehicles in Network Simulation
      • Web Cluster Laboratory
      • WinPEPSY-QNS - Performance Evaluation and Prediction System for Queueing Networks

    A⁵: Development Method for Driver Assistance Systems based on a Domain-Specific Language

    A5-logo
    Within the cooperation project between the AUDI AG and the Chair of Computer Science 7 at the FAU, the department conducts research in terms of the optimization of software development methods for the functional development of sensor-assisted driver assistance systems in the automotive domain.

    On the one hand, already established methods are analyzed and potential optimization fields are determined. On the other hand, new methods – which are partly not yet used in the automotive domain – are examined with regard to their applicability and they are improved or adapted for practical use.

    In the automotive industry, artifacts (models, diagrams, source code, documents, etc.) generated during the development of the functions are either not reused or recreated during some phases of the development process. This is due to the organizational structure and the complexity of the processes, but can also be caused by historical and/or personnel reasons. In particular, the cooperation with suppliers is still mainly based on manual data exchange and individual manual data interpretation.

    The Chair for Computer Science 7 (Computer Networks and Communication Systems) therefore develops an approach based on the promising field of domain-specific languages. This approach allows a system specification in a familiar way, which is capable of the automatic generation of further artifacts based on the underlying information, which are then provided to the users. These results can then be enriched with further details during the following development phases. This improves both the quality and the efficiency of software development in the automotive domain.

    Project Period

      2014-11-01 – 2017-10-31

    Project Members

    Prof. Dr.-Ing. Reinhard German
    Florian Bock, M.Sc.

    Sponsored by

      AUDI AG , INI.FAU-Kooperation

    Involved institutions

    Lehrstuhl für Informatik 7,
    Friedrich-Alexander-Universität Erlangen-Nürnberg

    Related Publications

    1. Florian Bock, Daniel Homm, Sebastian Siegl und Reinhard German, “A Taxonomy for Tools, Processes and Languages in Automotive Software Engineering,” Computer Science & Information Technology, pp. 241-256, Januar 2016
    2. Florian Bock, Reinhard German und Sebastian Siegl, “Domain-Specific Languages for the Definition of Automotive System Requirements,” Workshop CARS 2016 – Critical Automotive applications : Robustness & Safety, Göteborg, Sweden, 2016
    3. Florian Bock, Sebastian Siegl und Reinhard German, “Mathematical Test Effort Estimation for Dependability Assessment of Sensor-Based Driver Assistance Systems,” 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 222-226, 2016
    Computer Science 7 (Computer Networks and Communication Systems)
    Friedrich-Alexander-Universität Erlangen-Nürnberg

    Martensstr. 3
    91058 Erlangen
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