Systems designers are asked constantly to improve end-users experiences while ensuring network stability and security and minimizing the use of resources. This trifold demand can only be met by incorporating the latest technological advances into the design, development, and maintenance of new software systems. Theoretical and Analytical Service-Focused Systems Design and Development provides solutions to these challenges. It advances the practice and understanding of contemporary theories and empirical analysis for systems engineering in a way that achieves service excellence.

A concise and practical introduction to the basic principles of effective software verification and validation (V&V). This edition has been revised and includes five new chapters and five new appendices focused on management techniques to make your company's software V&V efforts more cost-effective. Managers should learn how to help their organization create more accurate estimates and schedules. Practitioners should learn fundamental software V&V practices such as the formal inspection process, configuration management, effective testing techniques, and how to use measurements to drive further process improvements.

Authored by an internationally known expert in configuration management (CM) solutions, this unique new book helps experienced professionals and novices alike see why CM is critical to the survival of their company's e-commerce and e-business development and management.

Unlike other books on configuration management, this book examines CM from a "business value" perspective. You learn why your company's e-business and e-commerce - encompassing web content, web applications, back-office applications, code and data - simply will not survive or thrive without CM.

CD-ROM Included Contains two PowerPoint presentations by Susan Dart: The Agony and Ecstasy of Configuration Management and Mastering E-Development.

A comprehensive, up-to-date and practical introduction to software test design. This book presents all the important test design techniques in a single place and in a consistent and easy-to-digest format. An immediately useful handbook for test engineers, developers, quality assurance professionals and requirements and systems analysts, it enables you to: choose the best test case design; find software defects in less time and with fewer resources; and develop optimal strategies that help reduce the likelihood of costly errors. It also assists you in estimating the effort, time and cost of good testing. Numerous case studies and examples of software testing techniques are included, helping you to fully understand the practical applications of these techniques. From well-established techniques such as equivalence classes, boundary value analysis, decision tables and state-transition diagrams, to new techniques like use case testing, pairwise testing and exploratory testing, the book is a usful resource for testing professionals seeking to improve their skills and a handy reference for college-level courses in software test design.

Human-computer interaction studies the users and their interaction with an interactive software system (ISS). However, these studies are designed for people without any type of disability, causing there to be few existing techniques or tools that focus on the characteristics of a specific user, thus causing accessibility and utility issues for neglected segments of the population. This reference source intends to remedy this lack of research by supporting an ISS focused on people with visual impairment. User-Centered Software Development for the Blind and Visually Impaired: Emerging Research and Opportunities is a collection of innovative research on techniques, applications, and methods for carrying out software projects in which the main users are people with visual impairments. While highlighting topics including mobile technology, assistive technologies, and human-computer interaction, this book is ideally designed for software developers, computer engineers, designers, academics, researchers, professionals, and educators interested in current research on usable and accessible technologies.

Software Reliability Engineering is the classic guide to this time-saving practice for the software professional. ACM Software Engineering Notes praised it as: ."an introductory book, a reference, and an application book all compressed in a single volume.The author's experience in reliability engineering is apparent and his expertise is infused in the text." IEEE Computer noted: "Toward software you can depend on.This book illustrates the entire SRE process.An aid to systems engineers, systems architects, developers, and managers." This Second Edition is thoroughly rewritten for the latest SRE practice, enlarged 50%, and polished by thousands of practitioners. Added workshops help you apply what you learn to your project. Frequently asked questions were doubled to more than 700. The step-by-step process summary, software user manual, list of articles of SRE user experience, glossary, background sections, and exercises are all updated, enhanced, and exhaustively indexed. To see the Table of Contents and other details, click on http: //members.aol.com/JohnDMusa/book.htm

Today's work is characterized by a high degree of innovation and thus demands a thorough overview of relevant knowledge in the world and in organizations. Semantic Work Environments support the work of the user by collecting knowledge about needs and providing processed and improved knowledge to be integrated into work. ""Emerging Technologies for Semantic Work Environments: Techniques, Methods, and Applications"" describes an overview of the emerging field of Semantic Work Environments by combining various research studies and underlining the similarities between different processes, issues and approaches in order to provide the reader with techniques, methods, and applications of the study.

Reliability is one of the fundamental criteria in engineering systems. Design and maintenance serve to support it throughout the systems life. As such, maintenance acts in parallel to production and can have a great impact on the availability and capacity of production and the quality of the products. The authors describe current and innovative methods useful to industry and society.

As advances in technology continue to generate the collective knowledge of an organization and its operations, strategic models for information systems are developed in order to arrange business processes and business data. Frameworks for Developing Efficient Information Systems: Models, Theory, and Practice presents research and practices on the advancements in systems analysis and design. These theoretical frameworks and practical solutions are useful for researchers, practitioners, and academicians as this book aims to bridge the communication gap between business managers and system designers.

With complex systems and complex requirements being a challenge that designers must face to reach quality results, multi-formalism modeling offers tools and methods that allow modelers to exploit the benefits of different techniques in a general framework intended to address these challenges. Theory and Application of Multi-Formalism Modeling boldly explores the importance of this topic by gathering experiences, theories, applications, and solutions from diverse perspectives of those involved with multi-formalism modeling. Professionals, researchers, academics, and students in this field will be able to critically evaluate the latest developments and future directions of multi-formalism research.

ISO 9001 is known throughout the world as the gold standard for quality process improvement, but quality assurances experts are also discovering the power of CMMI (Capability Maturity Model Integration). This text explores how these two models can be used together to improve process quality by quantum leaps. It shows how organizations can streamline their quality process improvement programmes by capitalizing on the similarities both models share while minimizing their differences. The authors demonstrate that organizations can save valuable resources and money as they improve quality by moving towards both ISO 9001:2000 and CMMI compliance certification.

Other books on the market have explored the principles of software configuration management (SCM), but none have tackled the nuts-and-bolts of implementing an SCM system - until now. This completely revised edition of an Artech House bestseller goes far above and beyond other SCM books as the only complete guide that integrates SCM principles, advanced topics, and implementation procedures in one easy-access resource. The second edition is greatly expanded with new chapters on documentation control, product data management, and SCM standards, and explroes the latest advances in SCM tools, organization, operation, and maintenance as well as new software development methodologies.

In 1945, Vannevar Bush, the engineer who designed the world's most powerful analog computers and the official responsible for U.S. scientific research and development during WWII, published an essay in which he predicted the development of a new kind of computing machine he called Memex. Today, computers in millions of offices and homes perform tasks that closely resemble the ideas that Bush proposed. For many people in the fields of computer and information science, Bush's Memex has been the prototype of the personal computer, and the first design for a machine to help people think and manage information. Yet, with all its renown, Memex is largely misunderstood. In From Memex to Hypertext, all of Bush's writings about Memex have been collected for the first time. Surrounding Bush's essays are chapters by historians and leading figures in the computer science research community telling the story of how the idea of Memex was developed and how Bush's writings have influenced today's research agenda in hypertext, multimedia, and artificial intelligence.

Enterprise resource planning plays a strategic role in designing, and managing e-government resources. Governments all over the world face challenges in designing robust enterprise resource planning applications and methodologies to align themselves with the expectations of citizens and stakeholders. The existing standard enterprise resource planning solutions are proprietary, inflexible, and expensive to implement in government enterprises. Strategic Enterprise Resource Planning Models for E-Government: Applications and Methodologies is a collection of research from professionals and researchers working in the field of e-government including policymakers, ICT vendors, consultants, and implementing agencies. This book will aim to suggest enterprise resource planning frameworks for government enterprises along with their applications and methodologies to improve effectiveness of processes and enhance citizen-centric services. The research initiatives presented in this book will ease the process of implementing customized enterprise resource planning solutions in e-government.

Presenting the state of the art in component-based software testing, this cutting-edge resource offers you an in-depth understanding of the current issues, challenges, needs and solutions in this critical area. The book discusses the very latest advances in component-based testing and quality assurance in an accessible tutorial format, making the material easy to comprehend and benefit from no matter what your professional level. The book clearly explains what component-based software testing is, why it is important, and how it differs from traditional software testing. From an introduction to software components, testing component-based software and validation methods for software components, to performance testing and measurement, standards and certification and verification of quality for component-based systems, you get a revealing snapshot of the key developments in this area, including important research findings. This volume also serves as a textbook for related courses at the advanced undergraduate or graduate level.

Despite pressures of economic slowdown and the e-commerce bubble burst, moving towards e-services is a compelling necessity for today's organizations. Companies that are reluctant to adopt a service-oriented architecture in their IT systems will be missing out on unprecedented opportunities to create business value with relatively small IT investments. ""Engineering Service Oriented Systems: A Model-Driven Approach"" combines concepts from systems theory, model driven software engineering, and ontologies for software engineering into a systematic method for engineering service oriented systems while integrating both business and software perspectives.

Over the last four decades, computer systems have required increasingly complex software development and maintenance support. The marriage of software engineering, the application of engineering principals to produce economical and reliable software, to software development tools and methods promised to simplify software development while improving accuracy and speed, tools have evolved that use computer graphics to represent concepts that generate code from integrated design specifications. Practicing Software Engineering in the 21st Century addresses the tools and techniques utilized when developing and implementing software engineering practices into computer systems.

This book highlights the advantages and disadvantages of various software development lifecycle models, and describes when to apply testing -- and when to use other, more cost-effective techniques. It also shows how to incorporate V&V techniques if your organization does not have a written procedure, and explains how to implement the inspection process.

Agile is broken. Most Agile transformations struggle. According to an Allied Market Research study, "63% of respondents stated the failure of agile implementation in their organizations." The problems with Agile start at the top of most organizations with executive leadership not getting what agile is or even knowing the difference between success and failure in agile. Agile transformation is a journey, and most of that journey consists of people learning and trying new approaches in their own work. An agile organization can make use of coaches and training to improve their chances of success. But even then, failure remains because many Agile ideas are oversimplifications or interpreted in an extreme way, and many elements essential for success are missing. Coupled with other ideas that have been dogmatically forced on teams, such as "agile team rooms", and "an overall inertia and resistance to change in the Agile community," the Agile movement is ripe for change since its birth twenty years ago. "Agile 2" represents the work of fifteen experienced Agile experts, distilled into Agile 2: The Next Iteration of Agile by seven members of the team. Agile 2 values these pairs of attributes when properly balanced: thoughtfulness and prescription; outcomes and outputs, individuals and teams; business and technical understanding; individual empowerment and good leadership; adaptability and planning. With a new set of Agile principles to take Agile forward over the next 20 years, Agile 2 is applicable beyond software and hardware to all parts of an agile organization including "Agile HR", "Agile Finance", and so on. Like the original "Agile", "Agile 2", is just a set of ideas - powerful ideas. To undertake any endeavor, a single set of ideas is not enough. But a single set of ideas can be a powerful guide.

The field of bioinformatics and computational biology arose due to the need to apply techniques from computer science, statistics, informatics, and applied mathematics to solve biological problems. Scientists have been trying to study biology at a molecular level using techniques derived from biochemistry, biophysics, and genetics. Progress has greatly accelerated with the discovery of fast and inexpensive automated DNA sequencing techniques.
As the genomes of more and more organisms are sequenced and assembled, scientists are discovering many useful facts by tracing the evolution of organisms by measuring changes in their DNA, rather than through physical characteristics alone. This has led to rapid growth in the related fields of phylogenetics, the study of evolutionary relatedness among various groups of organisms, and comparative genomics, the study of the correspondence between genes and other genomic features in different organisms. Comparing the genomes of organisms has allowed researchers to better understand the features and functions of DNA in individual organisms, as well as provide insights into how organisms evolve over time.
The first four chapters of this book focus on algorithms for comparing the genomes of different organisms. Possible concrete applications include identifying the basis for genetic diseases and tracking the development and spread of different forms of Avian flu. As researchers begin to better understand the function of DNA, attention has begun shifting towards the actual proteins produced by DNA. The final two chapters explore proteomic techniques for analyzing proteins directly to identify their presence and understand their physical structure.
- Written by active PhD researchers in computational biology and bioinformatics

(This book is available at a reduced price for course adoption when ordering six copies or more. Please contact [email protected] for more information.)

The purpose of Experimentation in Software Engineering: An Introduction is to introduce students, teachers, researchers, and practitioners to experimentation and experimental evaluation with a focus on software engineering. The objective is, in particular, to provide guidelines for performing experiments evaluating methods, techniques and tools in software engineering. The introduction is provided through a process perspective. The focus is on the steps that we go through to perform experiments and quasi-experiments. The process also includes other types of empirical studies.

The motivation for the book emerged from the need for support we experienced when turning our software engineering research more experimental. Several books are available which either treat the subject in very general terms or focus on some specific part of experimentation; most focus on the statistical methods in experimentation. These are important, but there were few books elaborating on experimentation from a process perspective, none addressing experimentation in software engineering in particular.

The scope of Experimentation in Software Engineering: An Introduction is primarily experiments in software engineering as a means for evaluating methods, techniques and tools. The book provides some information regarding empirical studies in general, including both case studies and surveys. The intention is to provide a brief understanding of these strategies and in particular to relate them to experimentation.

Experimentation inSoftware Engineering: An Introduction is suitable for use as a textbook or a secondary text for graduate courses, and for researchers and practitioners interested in an empirical approach to software engineering.

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technology Fast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.