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Database management --- Databases

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This is the first book that presents a comprehensive overview of sustainability aspects in software engineering. Its format follows the structure of the SWEBOK and covers the key areas involved in the incorporation of green aspects in software engineering, encompassing topics from requirement elicitation to quality assurance and maintenance, while also considering professional practices and economic aspects. The book consists of thirteen chapters, which are structured in five parts. First the “Introduction” gives an overview of the primary general concepts related to Green IT, discussing what Green in Software Engineering is, and how it differs from Green by Software Engineering.  Next “Environments, Processes and Construction” presents green software development environments, green software engineering processes, and green software construction in general. The third part, “Economic and Other Qualities,” details models for measuring how well software supports green software engineering techniques, and for performing trade-off analyses between alternative green practices from an economic perspective. “Software Development Process” then details techniques for incorporating green aspects at various stages of software development, including requirements engineering, design, testing, and maintenance. In closing, “Practical Issues” addresses the repercussions of green software engineering on decision-making, stakeholder participation, and innovation management. The audience for this book includes software engineering researchers in academia and industry seeking to understand the challenges and impact of green aspects in software engineering, as well as practitioners interested in learning about the state of the art in Green in Software Engineering.

Computer Science. --- Software Engineering. --- Management of Computing and Information Systems. --- Sustainable Development. --- Innovation/Technology Management. --- The Computer Industry. --- Computers and Society. --- Computer science. --- Software engineering. --- Computer industry. --- Information Systems. --- Sustainable development. --- Informatique --- Génie logiciel --- Développement durable --- Industrie --- Engineering & Applied Sciences --- Computer Science --- Information storage and retrieval systems --- Systèmes d'information --- Software engineering --- Environmental aspects. --- Computer software engineering --- Management. --- Industrial management. --- Computers and civilization. --- Management information systems. --- Engineering --- Informatics --- Science --- Electronic industries --- Administration --- Industrial relations --- Organization --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Environmental aspects --- Civilization and computers --- Civilization --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Communication systems

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Knowledge management. --- Management information systems.

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Communication is one of the main activities in software projects, many such projects fail or encounter serious problems because the stakeholders involved have different understandings of the problem domain and/or they use different terminologies. Ontologies can help to mitigate these communication problems. Calero and her coeditors mainly cover two applications of ontologies in software engineering and software technology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. The editors structured the contributions into three parts: first, a detailed introduction into the use of ontologies in software engineering and software technology in general; second, the use of ontologies to conceptualize different process-related domains such as software maintenance, software measurement, or SWEBOK, initiated by IEEE; third, the use of ontologies as artifacts in several software processes, like, for example, in OMG’s MOF or MDA. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.

Software engineering. --- Ontologies (Information retrieval) --- Computer software engineering --- Engineering --- Data structures (Computer science) --- Computer science. --- Artificial intelligence. --- Software Engineering. --- Models and Principles. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace

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The idea that ""measuring quality is the key to developing high-quality software systems"" is gaining relevance. Moreover, it is widely recognised that the key to obtaining better software systems is to measure the quality characteristics of early artifacts, produced at the conceptual modelling phase.

Computer software --- Computers. --- 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 --- Software, Computer --- Mathematical models.