Software developers need to worry about security as never before. They need clear guidance on safe coding practices, and that´s exactly what this book delivers. The book does not delve deep into theory, or rant about the politics of security. Instead, it clearly and simply lays out the most common threats that programmers need to defend against. It then shows programmers how to make their defense. The book takes a broad focus, ranging over SQL injection, worms and buffer overflows, password security, and more. It sets programmers on the path towards successfully defending against the entire gamut of security threats that they might face.
Now updated in line with the 2011 syllabus, this quick-reference revision guide has been designed to help students prepare for their foundation exam. It is also a key reference aid for managers, practitioners, vendors and consultants in the workplace and while travelling. This handbook provides an introduction to the ITIL service lifecycle model and an overview of the ITIL qualification structure. It contains a chapter on each of the components of the lifecycle: service strategy, service design, service transition, service operation and continual service improvement.
This book provides a reasoned and authoritative description of what user experience (UX) is, why it works, what tools and techniques are involved, and how it fits in the software development process, in line with the BCS Foundation Certificate in User Experience and ISO 9241-210.
Silverlight is Microsoft´s breakthrough technology for creating rich experiences on the web. This book illustrates the power of Silverlight as a graphics, animation, and game-creation tool. It teaches the fundamentals of computer animation, using trigonometry and vector movement before moving on to more advanced topics such as physics modeling and particle systems. With full code examples for all types of animation and interaction, this is an invaluable resource for both Silverlight beginners and more advanced users. Fully updated for Silverlight 3 See the power of Silverlight in action Learn the building blocks of animation in Silverlight 2
Endorsed by the Official ITIL Accreditor and updated in line with the 2011 syllabus, this bestselling study aid is the ideal companion for students preparing for their ITIL Foundation Exam. The publication presents the Foundation content in an easy-to-follow structure, which is ideal for learning, and developing an understanding of the basic concepts, principles and terminology associated with IT service management. The publication provides an overview of the ITIL Foundation learning requirements. It contains chapters on service management, each of the five lifecycle stages, and service management technology - plus information on the qualification scheme and the exam itself
Professional testing of software is an essential task that requires a profound knowledge of testing techniques. The International Software Testing Qualifications Board (ISTQB) has developed a universally accepted, international qualification scheme aimed at software and system testing professionals, and has created the Syllabi and Tests for the Certified Tester. Today about 300,000 people have taken the ISTQB certification exams. The authors of Software Testing Foundations, 4th Edition, are among the creators of the Certified Tester Syllabus and are currently active in the ISTQB. This thoroughly revised and updated fourth edition covers the Foundation Level (entry level) and teaches the most important methods of software testing. It is designed for self-study and provides the information necessary to pass the Certified Tester-Foundations Level exam, version 2011, as defined by the ISTQB. Also in this new edition, technical terms have been precisely stated according to the recently revised and updated ISTQB glossary. Topics covered: - Fundamentals of Testing - Testing and the Software Lifecycle - Static and Dynamic Testing Techniques - Test Management - Test Tools Also mentioned are some updates to the syllabus that are due in 2015.
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of ´´drowning in information, but starving for knowledge´´ the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one´s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.
Multidimensional data is data that exists and changes in more than one dimension, by time, or spatially, or both, sometimes dynamically. Think here of tracking hurricane data in order to project the storm´s path, for just one example. As spatial and other multidimensional data structures become increasingly important for the applications in game programming, data mining, bioinformatics, and many other areas--including astronomy, geographic information systems, physics, etc., the need for a comprehensive book on the subject is paramount. This book is truly a life´s work by the author who is clearly the best person for the job.