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Case study research in software engineering
Based on their own experiences of in-depth case studies of software projects in international corporations, in this book the authors present detailed practical guidelines on the preparation, conduct, design and reporting of case studies of software engineering. This is the first software engineering specific book on the case study research method.
eBook
Software defined networks : a comprehensive approach
This book discusses the historical networking environment that gave rise to SDN, as well as the latest advances in SDN technology. It provides state of the art knowledge needed for successful deployment of an SDN, including how to explain to the non-technical business decision makers in an organization the potential benefits and risks, in shifting parts of a network to the SDN model; how to make intelligent decisions about when to integrate SDN technologies in a network; how to decide if an organization should be developing its own SDN applications or looking to acquire them from an outside vendor; how to accelerate the ability to develop an SDN application; discusses the evolution of the switch platforms that enable SDN; addresses when to integrate SDN technologies in a network; provides an overview of sample SDN applications relevant to different industries; includes practical examples of how to write SDN applications. --
eBook
Programming multi-agent systems in AgentSpeak using Jason
This text provides a detailed, practical guide to building multi-agent systems using Jason, one of the most prominent agent programming languages.
eBook
Principles of model checking
A comprehensive introduction to the foundations of model checking, a fully automated technique for finding flaws in hardware and software; with extensive examples and both practical and theoretical exercises.
eBook
Introduction to biostatistical applications in health research with Microsoft Office Excel and R
Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel®, 2e provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.Some updates for this new edition:The flowcharts from the first edition will be expanded to include indicators of the assumptions of each procedure. This will be added to facilitate selection of a statistical approach to analyze a particular set of data. The existing twelve chapters describing statistical principals and statistical methods will be maintained. They have been proven to provide students with a clear and useful approach to the subject in use as a textbook and workbook in a graduate statistics course. An additional chapter will be added to the book that discusses the assumptions of statistical procedures. This chapter will describe each assumption, tell how to determine if the assumption is appropriate for a particular set of data, and provide solutions to situations in which the assumptions are not me by the data set. This chapter will provide students and researchers with the information they need to select an appropriate method of analysis and to apply that method to a set of data. The workbook will include a corresponding chapter that will provide students with practice identifying assumptions, testing for their satisfaction, and applying solutions to violation of assumptions.R will also be included to broaden the appeal and audience for the book.
eBook