Software Engineering for Large Software Systems, B.A. Kitchenham

Автор: Vaishnavi
Название: Design Science Research Methods and Patterns
ISBN: 1498715257 ISBN-13(EAN): 9781498715256
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание:

Presenting innovative research methods, this second edition of a bestseller describes a simple and practical methodology for conducting cutting-edge design science research (DSR). It provides comprehensive guidance on how to conduct such research and supplies in-depth treatment of design science theory and the different types of theory that can be generated in design science research.

Making novel use of the concept of patterns, it presents 84 research patterns for conducting effective DSR. It emphasizes design science theory throughout and is filled with practical examples of using patterns to conduct information and communication technology research (ICT).

With a focus on reusing research activities to increase the effectiveness and efficiency of conducting design science research, the book relies on familiar patterns to provide the fundamentals of various research philosophies and techniques required to innovate ICT. It describes design science research in relation to other information systems research paradigms such as positivist and interpretivist research. New to this edition are relevant design science research patterns adapted from TRIZ, the widely regarded European engineering design and creativity method.

This edition also provides greatly expanded treatment of theory building in design science research (DSR), a topic of rapidly growing interest in addition to a new chapter presenting a framework for theory development in DSR. The book provides an expanded examination of patterns in DSR presented using a new pattern classification mechanism to group patterns with like functionality.

This book will be of value to those interested in learning to conduct design science research, particularly in the ICT disciplines the book focuses on.

Автор: Beyer Betsy, Jones Chris, Petoff Jennifer
Название: Site Reliability Engineering: How Google Runs Production Systems
ISBN: 149192912X ISBN-13(EAN): 9781491929124
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: In this collection of essays and articles, key members of Google`s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world.

Название: Large Scale and Big Data
ISBN: 1138033944 ISBN-13(EAN): 9781138033948
Издательство: Taylor&Francis
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Цена: 8420.00 р.
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Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments.

The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book's second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security.

Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing.

After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.