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High Assurance Services Computing

  • Book
  • © 2009

Overview

  • Covers service-oriented technologies in different domains including high assurance systems
  • Assists software engineers from industry and government laboratories who develop mission-critical software, and simultaneously provides academia with a practitioner’s outlook on the problems of high-assurance software development
  • Includes supplementary material: sn.pub/extras

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Table of contents (14 chapters)

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About this book

Service computing is a cutting-edge area, popular in both industry and academia. New challenges have been introduced to develop service-oriented systems with high assurance requirements. High Assurance Services Computing captures and makes accessible the most recent practical developments in service-oriented high-assurance systems.

An edited volume contributed by well-established researchers in this field worldwide, this book reports the best current practices and emerging methods in the areas of service-oriented techniques for high assurance systems. Available results from industry and government, R&D laboratories and academia are included, along with unreported results from the “hands-on” experiences of software professionals in the respective domains.

Designed for practitioners and researchers working for industrial organizations and government agencies, High Assurance Services Computing is also suitable for advanced-level students in computer science and engineering.

Reviews

From the reviews: “This fascinating book--on an important set of topics--brings together current research in high-assurance computing. Services computing is an emerging discipline that bridges the gap between business services and information technology services. The core technologies for services computing are service oriented architecture (SOA) and Web services. … This collection of research articles is best suited for a graduate-level academic audience and for practitioners who are particularly immersed in service-oriented computing.” (Charles K. Davis, ACM Computing Reviews, January, 2010)

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