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Auflistung nach Autor:in "Staron, Miroslaw"

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  • Konferenzbeitrag
    Improving fault injection in automotive model based development using fault bypass modeling
    (INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt, 2013) Rana, Rakesh; Staron, Miroslaw; Berger, Christian; Hansson, Jörgen; Nilsson, Martin; Törner, Fredrik
    Fault injection is widely used for validating dependability of computer systems. These techniques have been traditionally used for testing dependability of the both hardware and software systems. With widespread use of model based development in automotive software development more sophisticated needs arise for using fault injection techniques at the model level, which can yield significant benefits in combination with model-based testing or model mutation. In this paper, we address challenges with injecting faults into behavioral models in terms of analysis of results and propose a framework for distinguishing between correct and incorrect simulation results. The focus is laid on an important challenge encountered when injecting faults in continuous models – managing systemenvironment interdependencies. We analyze the problem in details and outline an effective approach to deal with this problem.
  • Konferenzbeitrag
    Software Traceability in the Automotive Domain: Challenges and Solutions
    (Software Engineering and Software Management 2019, 2019) Steghöfer, Jan-Philipp; Maro, Salome; Staron, Miroslaw
    In the automotive domain, the development of all safety-critical systems has to comply with safety standards such as ISO 26262. These standards require established traceability, the ability to relate artifacts created during development of a system, to ensure resulting systems are well-tested and therefore safe. Our study [MSS18] contrasts general traceability challenges and solutions with those specific to the automotive domain, and investigates how they manifest in practice. We combine a tertiary literature review to identify general challenges and solutions, a case study with an automotive supplier as validation for how challenges and solutions are experienced in practice, and a multi-vocal literature review to identify challenges and solutions specific to the automotive domain. We found 22 challenges and 16 unique solutions in the reviews. 17 challenges were identified in the case study; six remain unsolved. We discuss challenges and solutions from the perspectives of academia, tool vendors, consultants and users, and identify differences between scientific and “grey” literature. We discuss why challenges remain unsolved and propose solutions. Our findings indicate that there is a significant overlap between general traceability challenges and those in the automotive domain but that they are experienced differently.