Knowledge Management in the Development of Data-Intensive Systems
Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing kn…
Mehr
CHF 135.45
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
Versandkostenfrei
Produktdetails
Weitere Autoren: Galster, Matthias (Hrsg.) / Maxim, Bruce R. (Hrsg.) / Tekinerdogan, Bedir (Hrsg.)
- ISBN: 978-1-00-038741-4
- EAN: 9781000387414
- Produktnummer: 36201538
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 342 S.
- Plattform: PDF
- Auflage: 1. Auflage
- Abbildungen: 100 schwarz-weiße Abbildungen, 100 schwarz-weiße Zeichnungen, 28 schwarz-weiße Tabellen
Über den Autor
Ivan Mistrík is a researcher in software-intensive systems engineering. He is a computer scientist who is interested in system and software engineering and in system and software architecture, in particular: life cycle system/software engineering, requirements engineering, relating software requirements and architectures, knowledge management in software development, rationale-based software development, aligning enterprise/system/software architectures, value-based software engineering, agile software architectures, and collaborative system/software engineering. He has more than forty years' experience in the field of computer systems engineering as an information systems developer, R&D leader, SE/SA research analyst, educator in computer sciences, and ICT management consultant. Bruce R. Maxim has worked as a software engineer, project manager, professor, author, and consultant for more than 40 years. His research interests include software engineering, user experience design, game development, AR/VR/XR, social media, artificial intelligence, and computer science education. Bruce Maxim is professor of computer and information science and collegiate professor of engineering at the University of Michigan-Dearborn. Matthias Galster is an Associate Professor in the Department of Computer Science and Software Engineering at the University of Canterbury in Christchurch, New Zealand. Previously he received a PhD in Software Engineering. His current work aims at improving the way we develop high-quality software, with a focus on software requirements engineering, software architecture, development processes and practices, and empirical software engineering. Bedir Tekinerdogan is a full professor and chair of the Information Technology group at Wageningen University in The Netherlands. He received his PhD degree in Computer Science from the University of Twente, The Netherlands. He has more than 25 years of experience in information technology and software/systems engineering. He is the author of more than 300 peer-reviewed scientific papers.
19 weitere Werke von Ivan (Hrsg.) Mistrik:
Bewertungen
Anmelden