Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools.The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, usi...

It is my belief that software engineers not only need to know software engineering methods and processes, but that they also should know how to assess them. Conse quently, I have taught principles of experimentation and empirical studies as part of the software engineering curriculum. Until now, this meant selecting a text from another discipline, usually psychology, and augmenting it with journal or confer ence papers that provide students with software engineering examples of experi ment...

This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased...

This book is designed to introduce doctoral and other higher-degree research students to the process of scientific research in the fields of Information Systems as well as fields of Information Technology, Business Process Management and other related disciplines within the social sciences. It guides research students in their process of learning the life of a researcher. In doing so, it provides an understanding of the essential elements, concepts and challenges of the journey into resear...

Showing you how to take a structured and organized approach to a wide range of literature review types, this book helps you to choose which approach is right for your research. Packed with constructive tools, examples, case studies and hands-on exercises, the book covers the full range of literature review techniques.New to This Edition:Full re-organization takes you step-by-step through the process from beginning to endNew chapter showing y...

This book provides a practical, hands-on guide to conducting user studies in informatics. Its purpose is to explain the foundations of different experimental designs together with the appropriate statistical analyses for studies most often conducted in computing. Common mistakes are highlighted together with guidelines on how they should be avoided. The book is intended for advanced undergraduate students, beginning graduate students and as a refresher for any researcher evaluating the use...

Presents recent advances in both models and systems for intelligent decision making.Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems.The integration of MCDA and AI provides new capabiliti...

The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biom...

Medical Informatics is defined as an interdisciplinary field studying the effective use of biomedical data, information and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health. To emphasize the broad character it is called Biomedical Informatics. The course LV 444.152 consists of the following 12 lectures: 1. Introduction: Computer Science meets Life Sciences, challenges and future directions; 2. Back to the future: Fundament...

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and method...

The book reports on the current state on HCI in biomedicine and health care, focusing on the role of human factors, patient safety well as methodological underpinnings of HCI theories and its application for biomedical informatics. Theories, models and frameworks for human-computer interaction (HCI) have been recognized as key contributors for the design, development and use of computer-based systems. In the clinical domain, key themes that litter the research landscape of health informati...

This book constitutes the refereed proceedings of the 18th International Conference on Computer Assisted Assessment, CAA 2015, held in Zeist, The Netherlands, in June 2015.The 15 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers present current developments in technology-enhanced assessment. Topics covered include: automatic item generation, computer adapted testing, the use of multimedia in assessment, e-assessment policies.