Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are largely unfamiliar with these.

Ga evic and his co-authors try to fill this gap by covering the subject of MDA application for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMG s new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. The book is supported by a website showing many ontologies, UML and other MDA-based models, and the transformations between them.

"The book is equally suited to those who merely want to be informed of the relevant technological landscape, to practitioners dealing with concrete problems, and to researchers seeking pointers to potentially fruitful areas of research. The writing is technical yet clear and accessible, illustrated throughout with useful and easily digestible examples." from the Foreword by Bran Selic, IBM Rational Software, Canada.

"I do not know another book that offers such a high quality insight into UML and ontologies." Steffen Staab, U Koblenz, Germany"

This volume of Advances in Computers is number 66 in the series that began back in 1960. This series presents the ever changing landscape in the continuing evolution of the development of the computer and the field of information processing. Each year three volumes are produced presenting approximately 20 chapters that describe the latest technology in the use of computers today. Volume 66, subtitled "Quality software development," is concerned about the current need to create quality software. It describes the current emphasis in techniques for creating such software and in methods to demonstrate that the software indeed meets the expectations of the designers and purchasers of that software.

Key features:

- In-depth surveys and tutorials on software development approaches.
- Well-known authors and researchers in the field.
- Extensive bibliographies with most chapters.
- All chapters focus on software development issues.
- Discussion of high end computing applications, a topic generally not understood by most software professionals.
- In-depth surveys and tutorials on software development approaches.
- Well-known authors and researchers in the field.
- Extensive bibliographies with most chapters.
- All chapters focus on software development issues.
- Discussion of high end computing applications, a topic generally not understood by most software professionals.

Nowadays, there is software everywhere in our life. It controls cars, airplanes, factories, medical implants. Without software, banking, logistics and transportation, media, and even scientific research would not function in the accustomed way. Building and maintaining software is a knowledge-intensive endeavour and requires that specific experiences are handled successfully. However, neither knowledge nor experience can be collected, stored, and shipped like physical goods, instead these delicate resources require dedicated techniques. Knowledge and experience are often called company assets, yet this is only part of the truth: it is only software engineers and other creative employees who will effectively exploit an organisation's knowledge and experience.

Kurt Schneider's textbook is written for those who want to make better use of their own knowledge and experience - either personally or within their group or company. Everyone related to software development will benefit from his detailed explanations and case studies: project managers, software engineers, quality assurance responsibles, and knowledge managers. His presentation is based on years of both practical experience, with companies such as Boeing, Daimler, and Nokia, and research in renowned environments, such as the Fraunhofer Institute. Each chapter is self-contained, it clearly states its learning objectives, gives in-depth presentations, shows the techniques' practical relevance in application scenarios, lists detailed references for further reading, and is finally completed by exercises that review the material presented and also challenge further, critical examinations. The overall result is a textbook that is equally suitable as a personal resource for self-directed learning and as the basis for a one-semester course on software engineering and knowledge management.

"The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better." - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher Francois Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You'll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technology Machine learning has made remarkable progress in recent years. We've gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn't beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning-a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, Francois Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. what's inside Deep learning from first principles Image-classification, imagine segmentation, and object detection Deep learning for natural language processing Timeseries forecasting Neural style transfer, text generation, and image generation about the reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the author Francois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

The IT community has always struggled with questions concerning the value of an organizationa (TM)s investment in software and hardware. It is the goal of value-based software engineering (VBSE) to develop models and measures of value which are of use for managers, developers and users as they make tradeoff decisions between, for example, quality and cost or functionality and schedule a" such decisions must be economically feasible and comprehensible to the stakeholders with differing value perspectives. VBSE has its roots in work on software engineering economics, pioneered by Barry Boehm in the early 1980s. However, the emergence of a wider scope that defines VBSE is more recent. VBSE extends the merely technical ISO software engineering definition with elements not only from economics, but also from cognitive science, finance, management science, behavioural sciences, and decision sciences, giving rise to a truly multi-disciplinary framework.

Biffl and his co-editors invited leading researchers and structured their contributions into three parts, following an introduction into the area by Boehm himself. They first detail the foundations of VBSE, followed by a presentation of state-of-the-art methods and techniques. The third part demonstrates the benefits of VBSE through concrete examples and case studies.

This book deviates from the more anecdotal style of many management-oriented software engineering books and so appeals particularly to all readers who are interested in solid foundations for high-level aspects of software engineering decision making, i.e. to product or project managers driven by economics and to software engineering researchers and students.

Software effort estimation is a key element of software project planning and management. Yet, in industrial practice, the important role of effort estimation is often underestimated and/or misunderstood. In this book, Adam Trendowicz presents the CoBRA method (an abbreviation for Cost Estimation, Benchmarking, and Risk Assessment) for estimating the effort required to successfully complete a software development project, which uniquely combines human judgment and measurement data in order to systematically create a custom-specific effort estimation model. CoBRA goes far beyond simply predicting the development effort; it supports project decision-makers in negotiating the project scope, managing project risks, benchmarking productivity, and directing improvement activities. To illustrate the method's practical use, the book reports several real-world cases where CoBRA was applied in various industrial contexts. These cases represent different estimation contexts in terms of software project environment, estimation objectives, and estimation constraints. This book is the result of a successful collaboration between the process management division of Fraunhofer IESE and many software companies in the field of software engineering technology transfer. It mainly addresses software practitioners who deal with planning and managing software development projects as part of their daily work, and is also of interest for students or courses specializing in software engineering or software project management.

Agile software development has become an umbrella term for a number of changes in how software developers plan and coordinate their work, how they communicate with customers and external stakeholders, and how software development is organized in small, medium, and large companies, from the telecom and healthcare sectors to games and interactive media. Still, after a decade of research, agile software development is the source of continued debate due to its multifaceted nature and insufficient synthesis of research results. Dingsoyr, Dyba, and Moe now present a comprehensive snapshot of the knowledge gained over many years of research by those working closely with or in the industry. It shows the current state of research on agile software development through an introduction and ten invited contributions on the main research fields, each written by renowned experts. These chapters cover three main issues: foundations and background of agile development, agile methods in practice, and principal challenges and new frontiers. They show the important results in each subfield, and in addition they explain what these results mean to practitioners as well as for future research in the field. The book is aimed at reflective practitioners and researchers alike, and it also can serve as the basis for graduate courses at universities.

This book presents a comprehensive introduction to Internetware, covering aspects ranging from the fundamental principles and engineering methodologies to operational platforms, quality measurements and assurance and future directions. It also includes guidelines and numerous representative real-world case studies that serve as an invaluable reference resource for software engineers involved in the development of Internetware applications. Providing a detailed analysis of current trends in modern software engineering in the Internet, it offers an essential blueprint and an important contribution to the research on software engineering and systems for future Internet computing.

This unique text/reference provides a comprehensive review of distributed simulation (DS) from the perspective of Model Driven Engineering (MDE), illustrating how MDE affects the overall lifecycle of the simulation development process. Numerous practical case studies are included to demonstrate the utility and applicability of the methodology, many of which are developed from tools available to download from the public domain. Topics and features: Provides a thorough introduction to the fundamental concepts, principles and processes of modeling and simulation, MDE and high-level architecture Describes a road map for building a DS system in accordance with the MDE perspective, and a technical framework for the development of conceptual models Presents a focus on federate (simulation environment) architectures, detailing a practical approach to the design of federations (i.e., simulation member design) Discusses the main activities related to scenario management in DS, and explores the process of MDE-based implementation, integration and testing Reviews approaches to simulation evolution and modernization, including architecture-driven modernization for simulation modernization Examines the potential synergies between the agent, DS, and MDE methodologies, suggesting avenues for future research at the intersection of these three fields Distributed Simulation - A Model Driven Engineering Approach is an important resource for all researchers and practitioners involved in modeling and simulation, and software engineering, who may be interested in adopting MDE principles when developing complex DS systems.

As we approach the 21st century, the Advances in Computers serial remains the oldes continuously published anthology chronicling the evolution of the information technology field. Since 1960, this series has described the ever-changing nature of computing. In this volume, we will emphasize the major themes that have dominated computing in these latter days of the 1990s. Of course we mean the distributed nature of information technology.
The growth of networking, the Internet and the World Wide Web have greatly changed the role of the computer, and in turn, our lives as well. Starting as a computer science research topic in 1969, the ARPANET, funded by the U.S. government's Advanced Research Projects Agency (ARPA), tied together university, research, and military computing centers. By the mid-1980s the ARPANET evolved into the Internet under funding by the U.S. National Science Foundation (NSF). The computer experimenter, the so-called "computer geek," discovered the Internet and joined the fun. By the early 1990s, the World Wide Web (WWW) grew as a subnet of the Internet, and email and Web browsing became available to all. Today millions of "computer illiterate" individuals daily use these resources to send mail and search for online information. No longer is the Internet the domain of the serious computer researcher. In this volume we will describe some of the changes the Internet has brought us.

Current thinking about how to improve strategic planning (now upgraded to strategic thinking) and decision making by managers at all levels is to employ some aspect of information systems technology. Although this approach has worked well for most organizations, chief executives are now asking their managers to do what they do best but to do it better. But how? Future thinking about improving strategic thinking and decision making involves integrating creativity with the latest in information systems. Hence, the power of the computer can be an important means to assist managers in doing what they do better when employing a creative computer software approach.

Initially, the text looks at a number of areas that are impacted by creativity, with special emphasis on creative computer software. Management decision making is examined from a problem-finding or a forward-looking viewpoint that can benefit from utilizing creative computer software. Not only is this software useful for organizing ideas, but also for getting managers involved in networking ideas in different locations of a company. But more importantly, this software centers on the generation of new ideas. To demonstrate the generation of these ideas, the final part of the text gives a number of real-world applications of creative computer software. Particular emphasis is placed on Idea Fisher 4.0, an effective software package for generating new products and services.

The security of software systems in recent years has been transformed from a mono-dimensional technical challenge to a multi-dimensional technico-social challenge, due to the wide usage of software systems in almost every area of the human life. This situation requires a different and more holistic approach to the development of secure software systems. Software Engineering for Secure Systems: Industrial and Research Perspectives presents the most recent and innovative lines of research and industrial practice related to secure software engineering. The book provides coverage of recent advances in the area of secure software engineering that address the various stages of the development process from requirements to design to testing to implementation. Contributions offer a comprehensive understanding secure software engineering, inspire and motivate further research and development, and bridge the gap between academic research and industrial practice.

Many decisions are required throughout the software development process. These decisions, and to some extent the decision-making process itself, can best be documented as the rationale for the system, which will reveal not only what was done during development but the reasons behind the choices made and alternatives considered and rejected. This information becomes increasingly critical as software development becomes more distributed and encompasses the corporate knowledge both used and refined during the development process. The capture of rationale helps to ensure that decisions are well thought out and justified and the use of rationale can help avoid the mistakes of the past during both the development of the current system and when software products (architecture and design, as well as code) are reused in future systems.

Burge, Carroll, McCall, and Mistrik describe in detail the capture and use of design rationale in software engineering to improve the quality of software. Their book is the first comprehensive and unified treatment of rationale usage in software engineering. It provides a consistent conceptual framework and a unified terminology for comparing, contrasting and combining the myriad approaches to rationale in software engineering. It is both an excellent introductory text for those new to the field and a uniquely valuable reference for experienced rationale researchers. The book covers the use of rationale for decision making throughout the software lifecycle, starting from the first decisions in a project and continuing through requirements definition, design, implementation, testing, maintenance, redesign and reuse."

Agent-based modeling/simulation is an emerging field that uses bottom-up and experimental analysis in the social sciences. Selected research from that presented at the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004, held in May 2004 in Kyoto, Japan, is included in this book. The aim of the workshop was to employ the bottom-up approach to social and economic problems by modeling, simulation, and analysis using a software agent. This research area is an emerging interdisciplinary field among the social sciences and computer science, attracting broad attention because it introduces a simulation-based experimental approach to problems that are becoming increasingly complex in an era of globalization and innovation in information technology. The state-of-the-art research and findings presented in this book will be indispensable tools for anyone involved in this rapidly growing discipline.

This book covers a range of basic and advanced topics in software engineering. The field has undergone several phases of change and improvement since its invention, and there is significant ongoing research in software development, addressing aspects such as analysis, design, testing and maintenance. Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development. As such it is a valuable resource for new researchers interested in advances in software engineering - particularly in the area of bio-inspired techniques.

During maintenance of a software system, not all questions can be answered directly by resorting to otherwise reliable and accurate source code. Reverse engineering aims at extracting abstract, goal-oriented views of the system, able to summarize relevant properties of the program's computations. Reverse Engineering of Object-Oriented Code provides a comprehensive overview of several techniques that have been recently investigated in the field of reverse engineering. The book describes the algorithms involved in recovering UML diagrams from the code and the techniques that can be adopted for their visualization. This is important because the UML has become the standard for representing design diagrams in object-oriented development. A state-of-the-art exposition on how to design object-oriented code and accompanying algorithms that can be reverse engineered for greater flexibility in future code maintenance and alteration. Essential object-oriented concepts and programming methods for software engineers and researchers.

This book illustrates the role of software architecture and its application in business. The author describes enterprise architecture along with business architecture to show the role of software architecture in both areas. The place of software architecture in business is outlined from many perspectives in this context. The book outlines quality attributes and how managers can use software architecture to build high quality products. Topics include business software architecture, dealing with qualities, achieving quality attributes, managing business qualities, software product line, Internet of Things (IOT), and Service Oriented Business Architecture. The book is intended to benefit students, researchers, software architects, and business architects. Provides quick and easy access to all the important aspects of software architecture in business; Highlights a wide variety of concepts of software architecture in a straightforward manner, for students, practitioners, or architects; Presents different applications of software architecture in business.

Every enterprise architect faces similar problems when designing and governing the enterprise architecture of a medium to large enterprise. Design patterns are a well-established concept in software engineering, used to define universally applicable solution schemes. By applying this approach to enterprise architectures, recurring problems in the design and implementation of enterprise architectures can be solved over all layers, from the business layer to the application and data layer down to the technology layer. Inversini and Perroud describe patterns at the level of enterprise architecture, which they refer to as Enterprise Architecture Patterns. These patterns are motivated by recurring problems originating from both the business and the underlying application, or from data and technology architectures of an enterprise such as identity and access management or integration needs. The Enterprise Architecture Patterns help in planning the technological and organizational landscape of an enterprise and its information technology, and are easily embedded into frameworks such as TOGAF, Zachman or FEA. This book is aimed at enterprise architects, software architects, project leaders, business consultants and everyone concerned with questions of IT and enterprise architecture and provides them with a comprehensive catalogue of ready-to-use patterns as well as an extensive theoretical framework to define their own new patterns.

As we approach the 21st century, the Advances in Computers serial remains the oldes continuously published anthology chronicling the evolution of the information technology field. Since 1960, this series has described the ever-changing nature of computing. In this volume, we will emphasize the major themes that have dominated computing in these latter days of the 1990s. Of course we mean the distributed nature of information technology.
The growth of networking, the Internet and the World Wide Web have greatly changed the role of the computer, and in turn, our lives as well. Starting as a computer science research topic in 1969, the ARPANET, funded by the U.S. government's Advanced Research Projects Agency (ARPA), tied together university, research, and military computing centers. By the mid-1980s the ARPANET evolved into the Internet under funding by the U.S. National Science Foundation (NSF). The computer experimenter, the so-called "computer geek," discovered the Internet and joined the fun. By the early 1990s, the World Wide Web (WWW) grew as a subnet of the Internet, and email and Web browsing became available to all. Today millions of "computer illiterate" individuals daily use these resources to send mail and search for online information. No longer is the Internet the domain of the serious computer researcher. In this volume we will describe some of the changes the Internet has brought us.

This book contains extended and revised versions of the best papers presented at the 18th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2010, held in Madrid, Spain, in September 2010. The 14 papers included in the book were carefully reviewed and selected from the 52 full papers presented at the conference. The papers cover a wide variety of excellence in VLSI technology and advanced research. They address the current trend toward increasing chip integration and technology process advancements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of theses systems.

Handbook of Neuroevolution Through Erlang presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang. With a foreword written by Joe Armstrong, this handbook offers an extensive tutorial for creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system. By following these steps, the reader will be able to use novel technology to build a TWEANN system, which can be applied to Artificial Life simulation, and Forex trading. Because of Erlang's architecture, it perfectly matches that of evolutionary and neurocomptational systems. As a programming language, it is a concurrent, message passing paradigm which allows the developers to make full use of the multi-core & multi-cpu systems. Handbook of Neuroevolution Through Erlang explains how to leverage Erlang's features in the field of machine learning, and the system's real world applications, ranging from algorithmic financial trading to artificial life and robotics.

Information Processing and Security Systems is a collection of forty papers that were originally presented at an international multi-conference on Advanced Computer Systems (ACS) and Computer Information Systems and Industrial Management Applications (CISIM) held in Elk, Poland. This volume describes the latest developments in advanced computer systems and their applications within artificial intelligence, biometrics and information technology security. The volume also includes contributions on computational methods, algorithms and applications, computational science, education and industrial management applications.