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Auflistung nach Schlagwort "Theorem Prover"

1 - 2 von 2
  • Konferenzbeitrag
    Accountable Trust Decisions: A Semantic Approach
    (Open Identity Summit 2020, 2020) Schlichtkrull, Anders; Mödersheim, Sebastian
    This paper is concerned with the question of how to obtain the highest possible assurance on trust policy decisions: when accepting an electronic transaction of substantial value or significant implications, we want to be sure that this did not happen because of a bug in a policy checker. Potential bugs include bugs in parsing documents, in signature checking, in checking trust lists, and in the logical evaluation of the policy. This paper focuses on the latter kind of problems and our idea is to validate the logical steps of the trust decision by another, complementary method. We have implemented this for the Trust Policy Language of the LIGHTest project and we use the completely independently developed FOL theorem prover RP_X as a complementary method.
  • Konferenzbeitrag
    Enhancing System-model Quality: Evaluation of the MontiBelle Approach with the Avionics Case Study on a Data Link Uplink Feed System
    (SE 2024 - Companion, 2024) Kausch, Hendrik; Pfeiffer, Mathias; Raco, Deni; Rumpe, Bernhard; Schweiger, Andreas
    Software quality is often related directly to the quality of the models used throughout the development phases. Assuring model quality can thus be an important aspect for assuring the quality of the final product. Measuring model quality is done via different quality indicators. In this article, we investigate the influence of our holistic systems engineering methodology on model quality. An avionics case study was previously conducted using our methodology. The developed SysML v2 model artifacts are evaluated in this paper regarding internal and external model quality, as well as model notation quality. In total, the positive impact on 26 model quality indicators from our previous work is argued. These indicators are divided into intra-model (single artifact) quality indicators and inter-model (across model artifact) quality indicators. The inter-model quality indicators are further classified into indicators for models at the same granularity level (horizontal) and across several granularity levels (vertical). Multiple quality indicators are positively affected by the modeling language’s capabilities and the underlying mathematical semantics. Other indicators depend on methodological guidelines that steer the engineering process. The evaluation of model-quality properties leads towards maturing a holistic systems engineering methodology that facilitates high model quality and thus indicates high product quality.