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Titlebook: Software Engineering for Resilient Systems; Fourth International Paris Avgeriou Conference proceedings 2012 Springer-Verlag Berlin Heidelbe

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Supporting Field Investigators with PVS: A Case Study in the Healthcare Domainituations likely to warrant further investigation as part of the field study. The main contribution of this paper is a set of detailed examples that illustrate how we used PVS during the field study, and how the tool led to insights.
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Conference proceedings 2012n Pisa, Italy, in September 2012. .The 12 revised full papers were carefully reviewed and selected from numerous submissions. The papers address all aspects of fault tolerance and exception handling, safety modeling, supporting evolution, resilience in service-oriented computing, and applying formal
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Safety Lifecycle Development Process Modeling for Embedded Systems - Example of Railway Domain the clear separation between the development process, the system and their properties. Subsequently, the safety property model of the process is defined. The feasibility of the approach is evaluated with a case study from the railway domain.
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Assume-Guarantee Testing of Evolving Software Product Line Architecturestest only some of the products that conform to the software product line architecture and to infer, using assume-guarantee reasoning, the correctness of the other products. Assume-guarantee reasoning moreover permits the retesting of only those components that are affected by the changes.
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Dependability of Service-Oriented Computing: Time-Probabilistic Failure Modelling of measures for estimating dependability of service provisioning from the client’s viewpoint and present analytical models to be used for the assessment of the mean servicing and waiting times depending on client’s timeout settings.
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0302-9743 ere carefully reviewed and selected from numerous submissions. The papers address all aspects of fault tolerance and exception handling, safety modeling, supporting evolution, resilience in service-oriented computing, and applying formal methods in case studies.978-3-642-33175-6978-3-642-33176-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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