Produktinformationen zu „Software Adaptation in an Open Environment (ePub)“
The book is about a very active research field in software engineering. In modern society, the fact of the world's high reliance on software requires the system's robustness, i.e., continual availability and satisfactory service quality. This requirement gives rise to the popularity of the research on the self-adaptive software in open environment. There are some academic conferences dedicated to this field. But there is a lack of monographs about the topic. We believe such need is unmet in marketplace. By publishing the book, it can help bridge the gap and bring benefits to readers thereof.Key Features:The topic is well-motivated, interesting and actively studied worldwideThe research represents as the state-of-the-art in the fieldThe technical part of the book is rigidly evaluatedThe theoretical part of the book is sound and provedThe organization and presentation of the book will be double-checked by professional scholars
Autoren-Porträt von Yu Zhou, Taolue Chen
Yu Zhou received B.Sc and Ph.D of Computer Science from Nanjing University, China in 2004 and 2009 respectively. After that, he conducted post doc research in Politecnico di Milano, Italy till 2011. Now he is an associate professor of software engineering in Nanjing University of Aeronautics and Astronautics, China. He is currently a visiting professor at Department of Informatics, University of Zurich, Switzerland (2015.12-2016.11). His research interests include software architecture, software adaptation and evolution, software reliability and mining software repositories. He has authored/co-authored more than 40 research papers in these fields.
Bibliographische Angaben
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Autoren:
Yu Zhou
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Taolue Chen
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2017, 240 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1351723030
- ISBN-13: 9781351723039
- Erscheinungsdatum: 11.04.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
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Dateiformat: ePub
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Größe: 7.82 MB
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