"[The authors] are pioneers. . . . Few in our industry have their breadth of knowledge and experience." ―From the Foreword by Dave Thomas, Bedarra Labs 
Domain-Specific Modeling (DSM) is the latest approach to software development, promising to greatly increase the speed and ease of software creation. Early adopters of DSM have been enjoying productivity increases of 500–1000% in production for over a decade. This book introduces DSM and offers examples from various fields to illustrate to experienced developers how DSM can improve software development in their teams. Two authorities in the field explain what DSM is, why it works, and how to successfully create and use a DSM solution to improve productivity and quality. Divided into four parts, the book covers: background and motivation; fundamentals; in-depth examples; and creating DSM solutions. There is an emphasis throughout the book on practical guidelines for implementing DSM, including how to identify the necessary language constructs, how to generate full code from models, and how to provide tool support for a new DSM language. The example cases described in the book are available the book's Website, www.dsmbook.com, along with, an evaluation copy of the MetaEdit+ tool (for Windows, Mac OS X, and Linux), which allows readers to examine and try out the modeling languages and code generators. Domain-Specific Modeling is an essential reference for lead developers, software engineers, architects, methodologists, and technical managers who want to learn how to create a DSM solution and successfully put it into practice.

Domain-Specific Modeling: Enabling Full Code Generation

Computers & Technology

Kelly, Steven

Tolvanen, Juha-Pekka

Programming

Wiley-IEEE Computer Society Pr

This book describes an approach to software management based on establishing an infrastructure that serves as the foundation for the project. This infrastructure defines people roles, necessary technology, and interactions between people and technology. This infrastructure automates repetitive tasks, organizes project activities, tracks project status, and seamlessly collects project data to provide measures necessary for decision making. Most importantly, this infrastructure sustains and facilitates the improvement of human-defined processes. 
The methodology described in the book, which is called Automated Defect Prevention (ADP) stands out from the current software landscape as a result of two unique features: its comprehensive approach to defect prevention, and its far-reaching emphasis on automation. ADP is a practical and thorough guide to implementing and managing software projects and processes. It is a set of best practices for software management through process improvement, which is achieved by the gradual automation of repetitive tasks supported and sustained by this flexible and adaptable infrastructure, an infrastructure that essentially forms a software production line. In defining the technology infrastructure, ADP describes necessary features rather than specific tools, thus remaining vendor neutral. Only a basic subset of features that are essential for building an effective infrastructure has been selected. Many existing commercial and non-commercial tools support these, as well as more advanced features. Appendix E contains such a list.

Automated Defect Prevention: Best Practices in Software Management

Kolawa, Adam

Huizinga, Dorota

Based on author David A. Grier's column "In Our Time," which runs monthly in Computer magazine, Too Soon To Tell presents a collection of essays skillfully written about the computer age, an era that began February 1946. Examining ideas that are both contemporary and timeless, these chronological essays examine the revolutionary nature of the computer, the relation between machines and human institutions, and the connections between fathers and sons to provide general readers with a picture of a specific technology that attempted to rebuild human institutions in its own image.

Too Soon To Tell: Essays for the End of The Computer Revolution

Grier, David A.

Computer Science

This book provides guidance on the verification and validation of neural networks/adaptive systems. Considering every process, activity, and task in the lifecycle, it supplies methods and techniques that will help the developer or V&amp;V practitioner be confident that they are supplying an adaptive/neural network system that will perform as intended. Additionally, it is structured to be used as a cross-reference to the IEEE 1012 standard.

Guidance for the Verification and Validation of Neural Networks (Emerging Technologies)

Taylor, Brian J.

Pullum, Laura L.

Darrah, Marjorie A.

Certification

This practical, user-friendly handbook specifically addresses software companies that are interested in implementing effective improvement processes into the daily work life of every employee. A wealth of checklists, templates, exercises, tips, and pitfalls to avoid make it easy for readers to integrate quality awareness into their organization’s day-to-day processes at every level.

Collaborative Process Improvement: With Examples from the Software World (Practitioners)

Business & Money

Yeakley, Celeste Labrunda

Fiebrich, Jeffrey D.

Management & Leadership

A high-level introduction to new technologies andmethods in the field of software engineering 
Recent years have witnessed rapid evolution of software engineering methodologies, and until now, there has been no single-source introduction to emerging technologies in the field. Written by a panel of experts and divided into four clear parts, Emerging Methods, Technologies, and Process Management in SoftwareEngineering covers: <ul>
<li> Software Architectures – Evolution of software composition mechanisms; compositionality in software product lines; and teaching design patterns </li> <li> Emerging Methods – The impact of agent-oriented software engineering in service-oriented computing; testing object-oriented software; the UML and formal methods; and modern Web application development </li> <li> Technologies for Software Evolution – Migrating to Web services and software evolution analysis and visualization </li> <li> Process Management – Empirical experimentation in software engineering and foundations of agile methods </li> </ul>
Emerging Methods, Technologies, and Process Management in Software Engineering is a one-stop resource for software engineering practitioners and professionals, and also serves as an ideal textbook for undergraduate and graduate students alike.

Emerging Methods, Technologies, and Process Management in Software Engineering (IEEE Press)

A self-contained treatment of the fundamentals of quantum computing This clear, practical book takes quantum computing out of the realm of theoretical physics and teaches the fundamentals of the field to students and professionals who have not had training in quantum computing or quantum information theory, including computer scientists, programmers, electrical engineers, mathematicians, physics students, and chemists. The author cuts through the conventions of typical jargon-laden physics books and instead presents the material through his unique "how-to" approach and friendly, conversational style. Readers will learn how to carry out calculations with explicit details and will gain a fundamental grasp of: * Quantum mechanics * Quantum computation * Teleportation * Quantum cryptography * Entanglement * Quantum algorithms * Error correction A number of worked examples are included so readers can see how quantum computing is done with their own eyes, while answers to similar end-of-chapter problems are provided for readers to check their own work as they learn to master the information. Ideal for professionals and graduate-level students alike, Quantum Computing Explained delivers the fundamentals of quantum computing readers need to be able to understand current research papers and go on to study more advanced quantum texts.

Quantum Computing Explained

Science & Math

McMahon, David

Biological Sciences

This book provides thorough knowledge of Linux TCP/IP stack and kernel framework for its network stack, including complete knowledge of design and implementation. Starting with simple client-server socket programs and progressing to complex design and implementation of TCP/IP protocol in linux, this book provides different aspects of socket programming and major TCP/IP related algorithms. In addition, the text features netfilter hook framework, a complete explanation of routing sub-system, IP QOS implementation, and Network Soft IRQ. This book further contains elements on TCP state machine implementation,TCP timer implementation on Linux, TCP memory management on Linux, and debugging TCP/IP stack using lcrash

TCP/IP Architecture, Design, and Implementation in Linux

Venkatesulu, M. Ajaykumar

Seth, Sameer

Networking & Cloud Computing

This is the most authoritative archive of Barry Boehm's contributions to software engineering. Featuring 42 reprinted articles, along with an introduction and chapter summaries to provide context, it serves as a "how-to" reference manual for software engineering best practices. It provides convenient access to Boehm's landmark work on product development and management processes. The book concludes with an insightful look to the future by Dr. Boehm.

Software Engineering: Barry W. Boehm's Lifetime Contributions to Software Development, Management, and Research

Selby, Richard W.

Wide coverage of traditional unsupervised and supervised methods and newer contemporary approaches that help researchers handle the rapid growth of classification methods in DNA microarray studies Proliferating classification methods in DNA microarray studies have resulted in a body of information scattered throughout literature, conference proceedings, and elsewhere. This book unites many of these classification methods in a single volume. In addition to traditional statistical methods, it covers newer machine-learning approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, swarm intelligence involving particle swarm optimization, and more. Classification Analysis of DNA Microarrays provides highly detailed pseudo-code and rich, graphical programming features, plus ready-to-run source code. Along with primary methods that include traditional and contemporary classification, it offers supplementary tools and data preparation routines for standardization and fuzzification; dimensional reduction via crisp and fuzzy c-means, PCA, and non-linear manifold learning; and computational linguistics via text analytics and n-gram analysis, recursive feature extraction during ANN, kernel-based methods, ensemble classifier fusion. This powerful new resource: <ul>
<li>Provides information on the use of classification analysis for DNA microarrays used for large-scale high-throughput transcriptional studies</li> <li>Serves as a historical repository of general use supervised classification methods as well as newer contemporary methods</li> <li>Brings the reader quickly up to speed on the various classification methods by implementing the programming pseudo-code and source code provided in the book</li> <li>Describes implementation methods that help shorten discovery times</li> </ul>
Classification Analysis of DNA Microarrays is useful for professionals and graduate students in computer science, bioinformatics, biostatistics, systems biology, and many related fields.

Classification Analysis of DNA Microarrays

Peterson, Leif E.

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