37 research outputs found

    A characteristics framework for Semantic Information Systems Standards

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    Semantic Information Systems (IS) Standards play a critical role in the development of the networked economy. While their importance is undoubted by all stakeholders—such as businesses, policy makers, researchers, developers—the current state of research leaves a number of questions unaddressed. Terminological confusion exists around the notions of “business semantics”, “business-to-business interoperability”, and “interoperability standards” amongst others. And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a “real-life” context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standard

    Automatic Synthesis of Specifications from the Dynamic Observation of Reactive Programs

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    peer reviewedVeriSoft is a tool for systematically exploring the state spaces of systems composed of several concurrent processes executing arbitrary C (or C++) code. VeriSoft can automatically detect coordination problems between the concurrent processes of a system. In this paper, we present a method to synthesize a finite-state machine that simulates all the sequences of visible operations of a given process that were observed during a state-space exploration performed by VeriSoft. The examination of this machine makes it possible to discover the dynamic behavior of the process in its environment and to understand how it contributes to the global behavior of the system

    An application of computer aided requirements analysis to a real time deep space system

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76805/1/AIAA-1981-2184-970.pd

    Recovering repetitive sub-functions from observations

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    This paper proposes an algorithm which, given a set of observations of an existing concurrent system that has repetitive sub-functions, constructs a Message Sequence Charts (MSC) graph where repetitive sub-functions of the concurrent system are identified. This algorithm makes fewer assumptions than previously published work, and thus requires fewer and easier to generate observations to construct the MSC-graph. The constructed MSC-graph may then be used as input to existing synthesis algorithms to recover the design of the existing concurrent system
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