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The IT community has always struggled with questions concerning the value of an organization’s investment in software and hardware. It is the goal of value-based software engineering (VBSE) to develop models and measures of value which are of use for managers, developers and users as they make tradeoff decisions between, for example, quality and cost or functionality and schedule – such decisions must be economically feasible and comprehensible to the stakeholders with differing value perspectives. VBSE has its roots in work on software engineering economics, pioneered by Barry Boehm in the early 1980s. However, the emergence of a wider scope that defines VBSE is more recent. VBSE extends the merely technical ISO software engineering definition with elements not only from economics, but also from cognitive science, finance, management science, behavioral sciences, and decision sciences, giving rise to a truly multi-disciplinary framework. Biffl and his co-editors invited leading researchers and structured their contributions into three parts, following an introduction into the area by Boehm himself. They first detail the foundations of VBSE, followed by a presentation of state-of-the-art methods and techniques. The third part demonstrates the benefits of VBSE through concrete examples and case studies. This book deviates from the more anecdotal style of many management-oriented software engineering books and so appeals particularly to all readers who are interested in solid foundations for high-level aspects of software engineering decision making, i.e., to product or project managers driven by economics and to software engineering researchers and students.

Software engineering --- Costs. --- Evaluation --- Methodology. --- Management. --- Computer software engineering --- Engineering --- Information Technology --- Software Engineering --- Software engineering. --- Information Systems. --- Economic policy. --- Software Engineering. --- Management of Computing and Information Systems. --- Innovation/Technology Management. --- R & D/Technology Policy. --- Economic nationalism --- Economic planning --- National planning --- State planning --- Economics --- Planning --- National security --- Social policy --- Administration --- Industrial relations --- Organization --- Management information systems. --- Computer science. --- Industrial management. --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Communication systems

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This is the first book to explore how Semantic Web technologies (SWTs) can be used to create intelligent engineering applications (IEAs). Technology-specific chapters reflect the state of the art in relevant SWTs and offer guidelines on how they can be applied in multi-disciplinary engineering settings characteristic of engineering production systems. In addition, a selection of case studies from various engineering domains demonstrate how SWTs can be used to create IEAs that enable, for example, defect detection or constraint checking. Part I “Background and Requirements of Industrie 4.0 for Semantic Web Solutions” provides the background information needed to understand the book and addresses questions concerning the semantic challenges and requirements of Industrie 4.0, and which key SWT capabilities may be suitable for implementing engineering applications. In turn, Part II “Semantic Web-Enabled Data Integration in Multi-Disciplinary Engineering” focuses on how SWTs can be used for data integration in heterogeneous, multi-disciplinary engineering settings typically encountered in the creation of flexible production systems. Part III “Creating Intelligent Applications for Multi-Disciplinary Engineering” demonstrates how the integrated engineering data can be used to support the creation of IEAs, while Part IV “Related and Emerging Trends in the Use of Semantic Web in Engineering” presents an overview of the broader spectrum of approaches that make use of SWTs to support engineering settings. A final chapter then rounds out the book with an assessment of the strengths, weaknesses and compatibilities of SWTs and an outlook on future opportunities for applying SWTs to create IEAs in flexible industrial production systems. This book seeks to build a bridge between two communities: industrial production on one hand and Semantic Web on the other. Accordingly, stakeholders from both communities should find this book useful in their work. Semantic Web researchers will gain a better understanding of the challenges and requirements of the industrial production domain, offering them guidance in the development of new technologies and solutions for this important application area. In turn, engineers and managers from engineering domains will arrive at a firmer grasp of the benefits and limitations of using SWTs, helping them to select and adopt appropriate SWTs more effectively. In addition, researchers and students interested in industrial production-related issues will gain valuable insights into how and to what extent SWTs can help to address those issues. .

Computer science. --- Management information systems. --- Artificial intelligence. --- Application software. --- Industrial engineering. --- Production engineering. --- Computer Science. --- Computer Appl. in Administrative Data Processing. --- Artificial Intelligence (incl. Robotics). --- Business Information Systems. --- Industrial and Production Engineering. --- Computer-assisted instruction. --- Semantic Web. --- CAI (Computer-assisted instruction) --- Computer-aided instruction --- Computer-assisted learning --- Computer based instruction --- Computer-enhanced learning --- Electronic data processing in programmed instruction --- ILSs (Integrated learning systems) --- Integrated learning systems --- Microcomputer-aided instruction --- Microcomputer-assisted instruction --- Microcomputer-assisted learning --- Microcomputer-based instruction --- Teaching --- Data processing --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Education --- Educational technology --- Programmed instruction --- Telematics --- Information systems. --- Artificial Intelligence. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- 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 --- Communication systems --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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This book constitutes the refereed proceedings of the scientific track of the 7th Software Quality Days Conference, SWQD 2015, held in Vienna, Austria, in January 2015. The SWQD conference offers a range of comprehensive and valuable information by presenting new ideas from the latest research papers, keynote speeches by renowned academics and industry leaders, professional lectures, exhibits, and tutorials. The four scientific full papers accepted for SWQD were each peer reviewed by three or more reviewers and selected out of 13 high-quality submissions. Further, four short papers were also presented and are included in this book. The papers are organized into topical sections on risk management and inspection, change impact analysis and systems testing, and software and systems architectures.

Computer Science. --- Software Engineering. --- Management of Computing and Information Systems. --- Project Management. --- Computer science. --- Software engineering. --- Information Systems. --- Informatique --- Génie logiciel --- Engineering & Applied Sciences --- Computer Science --- Information storage and retrieval systems --- Systèmes d'information --- Computer software engineering --- Informatics --- Project management. --- Management information systems. --- Engineering --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Industrial project management --- Communication systems --- Computer software --- Quality control --- Electronic data processing --- IT Operations. --- Management.

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This book constitutes the refereed proceedings of the 5th Software Quality Days Conference (SWQD) held in Vienna, Austria, in January 2013. This professional symposium and conference offers a range of comprehensive and valuable opportunities for advanced professional training, new ideas, and networking with a series of keynote speeches, professional lectures, exhibits, and tutorials. The seven scientific full papers accepted for SWQD were each peer-reviewed by three or more reviewers and selected out of 18 high-quality submissions. Further, two keynotes and six short papers on promising research directions were also presented and included in order to spark discussions between researchers and practitioners. The papers are organized into topical sections on risk management; software and systems testing; test processes; model-based development; and process improvement and measurement.

Computer science. --- Software engineering. --- Information Systems. --- Computer Science. --- Software Engineering. --- Management of Computing and Information Systems. --- Project Management. --- Computer software --- Engineering & Applied Sciences --- Computer Science --- Quality control --- Information Technology --- Software Engineering --- Computer software engineering --- Informatics --- Project management. --- Management information systems. --- Industrial project management --- Management --- Engineering --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Communication systems --- Electronic data processing --- IT Operations. --- Management.

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This book constitutes the refereed proceedings of the 9th Software Quality Days Conference, SWQD 2017, held in Vienna, Austria, in January 2017. The SWQD conference offers a range of comprehensive and valuable information by presenting new ideas from the latest research papers, keynote speeches by renowned academics and industry leaders, professional lectures, exhibits, and tutorials. The 4 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 21 submissions. They were organized in topical sections named: model-driven development and configuration management; software development and quality assurance; software quality assurance in industry; crowdsourcing in software engineering; software testing and traceability; and process improvement. The book also contains one keynote talk in full paper length. .

Computer science. --- Management information systems. --- Software engineering. --- Computer Science. --- Software Engineering. --- Management of Computing and Information Systems. --- Software Management. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Informatics --- Computer software engineering --- Information Systems. --- Sociotechnical systems --- Information resources management --- Management --- Engineering --- Communication systems --- Science --- Electronic data processing --- Software engineering --- IT Operations. --- Management.