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Cloud computing --- Electronic data processing --- Web services --- Research. --- Distributed processing

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This book bridges the best practices and design principles successfully employed over last two decades with modern Knowledge Engineering (KE), which has provided some of the most valuable techniques and tools to support encoding knowledge and experiences.

Software engineering. --- Artificial intelligence. --- Automated code generation --- Automated support for reusability, extensibility, and refactoring --- Best practice software guidelines --- Intelligent software intensive applications --- KE for Web services and SOA --- KE support for requirements, architecture, components --- KE support for software process improvement --- KE support for software testing, quality and metrics --- Knowledge engineering support for software reuse --- Knowledge Management (KM) for software product line --- Requirements engineering and knowledge management --- Software engineering --- Artificial intelligence

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This book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm). However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applications in big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation. The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.

Computer communication systems. --- Software engineering. --- Computer engineering. --- Internet of things. --- Embedded computer systems. --- Computer Communication Networks. --- Software Engineering. --- Cyber-physical systems, IoT. --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Computers --- Computer software engineering --- Engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Embedded systems (Computer systems) --- Computer systems --- Architecture Analysis and Design Language --- Design and construction --- Distributed processing

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This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy. .

Systems engineering --- Cost effectiveness. --- Engineering systems --- System engineering --- Design and construction --- Engineering. --- Management information systems. --- Big data. --- Computers. --- Computer science. --- Quality control. --- Reliability. --- Industrial safety. --- Electrical engineering. --- Quality Control, Reliability, Safety and Risk. --- Information Systems and Communication Service. --- Business Information Systems. --- Management of Computing and Information Systems. --- Big Data/Analytics. --- Communications Engineering, Networks. --- Engineering --- Industrial engineering --- System analysis --- System safety. --- Information systems. --- Information Systems. --- Telecommunication. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Data sets, Large --- Large data sets --- Data sets --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Communication systems --- Prevention --- Electric engineering --- Informatics --- Science --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products

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This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy. .

Telecommunication technology --- Applied physical engineering --- Production management --- Mass communications --- Programming --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- MIS (management informatie systeem) --- bedrijfseconomie --- cloud computing --- big data --- duurzaamheid --- informatiesystemen --- tekstverwerking --- gegevensanalyse --- informatica management --- kwaliteitscontrole --- ingenieurswetenschappen --- communicatietechnologie