Rigorous Software Engineering for Service-Oriented Systems: Results of the SENSORIA Project on Software Engineering for Service-Oriented Computing (Lecture Notes in Computer Science, 6582)

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SENSORIA – Software Engineering for Service-Oriented Overlay

Computers.- A Unifying Formal Basis for the SENSORIA Approach: A White Paper.- Introduction to the SENSORIA Case Studies.- UML Extensions for Service-Oriented Systems.- The SENSORIA Reference Modeling Language.- Model-Driven Development of Adaptable Service-Oriented Business Processes.- A Formal Support to Business and Architectural Design for Service-Oriented Systems.- Core Calculi for Service-Oriented Computing.- Behavioral Theory for Session-Oriented Calculi.- Static Analysis Techniques for Session-Oriented Calculi.- Call-by-Contract for Service Discovery, Orchestration and Recovery.-CC-Pi: A Constraint Language for Service Negotiation and Composition.- Advanced Mechanisms for Service Composition, Query and Advanced Mechanisms for Service Combination and Transactions.- Model-Driven Development of Long Running Transactions.- Hierarchical Models for Service-Oriented Systems.- Analysing Protocol Stacks for Services.- An Abstract, on the Fly Framework for the Verification of Service-Oriented Systems.-Tools and Verification.- Specification and Analysis of Dynamically-Reconfigurable Service Architectures.- SoSL: A Service-Oriented Stochastic Logic.- Evaluating Service Level Agreements Using Observational Probes.- Scaling Performance Analysis Using Fluid-Flow Approximation.- Passage-End Analysis for Analysing Robot Movement.- Quantitative Analysis of Services.- Methodologies for Model-Driven Development and Deployment: An Overview.- Advances in Model Transformations by Graph Transformation: Specification, Execution and Analysis.-Runtime Support for Dynamic and Adaptive Service Composition.-Legacy Transformations for Extracting Service Components.-The SENSORIA Development Environment.- Specification and Implementation of Demonstrators for the Case Studies.- SENSORIA Results Applied to the Case Studies.- Analysing Robot Movement Using the SENSORIA Methods.- The SENSORIA ApproachApplied to the Finance Case Study.- SENSORIA Patterns.