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Dependability modeling and analysis relies on the usage of an unambiguous terminology model, in order to avoid misunderstandings and wrong interpretations. In both academia and industry, the most widely accepted approach is the fault-error-failure model, originally created by Avižienis and Laprie. Using this model for describing software faults and(More)
The domains of parallel and distributed computing have been converging continuously up to the degree that state-of-the-art server computer systems incorporate characteristics from both domains: They comprise a hierarchy of enclosures, where each enclosure houses multiple processor sockets and each socket again contains multiple memory controllers. A global(More)
The increasing usage of third-party software and complexity of modern software systems makes dependability, in particular robustness against faulty code, an ever more important concern. To compare and quantitatively assess the dependability of different software systems, dependability benchmarks are needed. We present a configurable tool for dependability(More)
The fault tolerance of complex software systems can be assessed experimentally using fault injection. To become an effective and systematic testing strategy, fault injection requires a realistic and well-defined failure cause model. However, such failure cause models are frequently incomplete, informal, and implicit or application-dependent. In this paper,(More)
Dependability modeling describes a set of approaches for analyzing the reliability of software and hardware systems. The most prominent approach are fault trees, which hierarchically express the causal dependencies between basic faults and an undesired failure event. Dynamic fault trees allow to express sequence-dependent error propagation, which is(More)
The software engineering field has a long history of classifying software failure causes. Understanding them is paramount for fault injection, focusing testing efforts or reliability prediction. Since software fails in manifold complex ways, a broad range of software failure cause models is meanwhile published in dependability literature. We present the(More)
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