Bettina Braitling

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—Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scant attention in this area, at least from the implementation perspective. This paper studies the problem of how to efficiently realize an algorithm for computing optimal long-run average(More)
Since its introduction in 1999, bounded model checking has gained industrial relevance for detecting errors in digital and hybrid systems. One of the main reasons for this is that it always provides a counterexample when an erroneous execution trace is found. Such a counterexample can guide the designer while debugging the system. In this paper we are(More)
A high-performance resistive bridging fault simulator SUPERB (Simulator Utilizing Parallel Evaluation of Resistive Bridges) is proposed. It is based on fault sectioning in combination with parallel-pattern or parallel-fault multiple-stuck-at simulation. It outperforms a conventional interval-based resistive bridging fault simulator by three orders of(More)
Generation of counterexamples is a highly important task in the model checking process. In contrast to, e. g., digital circuits where counterexamples typically consist of a single path leading to a critical state of the system, in the probabilistic setting counterexamples may consist of a large number of paths. In order to be able to handle large systems(More)
We extend the available SAT/SMT-based methods for generating counterexamples of proba-bilistic systems in two ways: First, we propose bounded rewards, which are appropriate, e. g., to model the energy consumption of autonomous embedded systems, and show how to extend the SMT-based counterexample generation to handle such models. Second, we describe a(More)
Markov automata combine continuous time, probabilistic transitions, and nondeterminism in a single model. They represent an important and powerful way to model a wide range of complex real-life systems. However, such models tend to be large and difficult to handle, making abstraction and abstraction refinement necessary. In this paper we present an(More)
Counterexamples are a highly important feature of the model checking process. In contrast to, e. g., digital circuits where counterexamples typically consist of a single path leading to a critical state of the system, in the probabilistic setting, counterexamples may consist of a large number of paths. In order to be able to handle large systems and to use(More)
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