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Auflistung nach Autor:in "Sailer, Andreas"

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  • Zeitschriftenartikel
    APP4MC: Application platform project for multi- and many-core systems
    (it - Information Technology: Vol. 59, No. 5, 2017) Höttger, Robert; Mackamul, Harald; Sailer, Andreas; Steghöfer, Jan-Philipp; Tessmer, Jörg
    Since especially the automotive domain increasingly utilizes multi- and many-core systems, appropriate models, analyses, and tooling are required to address challenges that were nearly non existent so far. APP4MC is an open source Eclipse platform that provides AUTOSAR compliant common data models namely AMALTHEA, basic parallelization features, visualizations, and the great possibility to add any existing tooling. For example, Eclipse Capra can be added to provide comprehensive traceability throughout the development processes but any proprietary, commercial, open-source, or prototypical implementations can be integrated. The platform enables the creation and management of complex tool chains including performance simulation and validation. The entire community benefits from reduced hardware costs, faster time to market, higher quality systems, and rapid adoption. APP4MC is not retricted to the automotive domain and utilizable in robotics or generic real-time systems as well.
  • Konferenzbeitrag
    Towards an automated reverse engineering of design models from trace recordings
    (Informatik 2014, 2014) Sailer, Andreas
    Recording traces from an embedded system is a common procedure in the process of developing real-time systems. While this technique is generally used for debugging and performance analysis, the recordings contain much more information. These pieces of information however can be useful to generate or maintain a system model in an automated manner. Therefore, the goal is to develop an approach that creates a model of a real-time system, especially of its observed temporal behaviour, from events logged in a trace recording. This research aims to extract, analyse and deduce information about the system under observation from a limited view of the proceedings in the system. Also as a consequence of this intention a detailed specification on events necessary for specific use cases emerges. To achieve all this, an iterative approach consisting of three consecutive steps is proposed. At first the necessary algorithms will be developed on a model-based foundation utilising a discrete event simulation. In a next step, the implementation will be aligned to take also specifics of the execution on real hardware into account. Finally, the approach can be evaluated on hardware with examples from real life.