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Composing Software Components

RRP $407.99

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Software components and component-based software development (CBSD) are acknowledged as the best approach for constructing quality software at reasonable cost. Composing Software Components: A Software-testing Perspective describes a 10-year investigation into the underlying principles of CBSD. By restricting attentionto the simplest cases, startling results are obtained:

. Components are tested using only executable code. Their behavior is recorded and presented graphically.

. Functional and non-functional behavior of systems synthesized from components are calculated from component tests alone. No access to components themselves is required.

. Fast, accurate tools support every aspect of CBSD from design through debugging.

Case studies of CBSD also illuminate software testing in general, particularly an expanded role for unit testing and the treatment of non-functional software properties.

This unique book:

. Contains more than a dozen case studies of fully worked-out component synthesis, with revealing insights into fundamental testing issues.

. Presents an original, fundamental theory of component composition that includes persistent state and concurrency, based on functional software testing rather than proof-of-programs.

. Comes with free supporting software with tutorial examples and data for replication of examples. The Perl software has been tested on Linux, Macintosh, and Windows platforms. Full documentation is provided.

. Includes anecdotes and insights from the author's 50-year career in computing as systems programmer, manager, researcher, and teacher.

Composing Software Components: A Software-testing Perspective will help software researchers and practitioners to understand the underlying principles of component testing. Advanced students in computer science, engineering, and mathematics can also benefit from the book as a supplemental text and reference.


Software Metrics

RRP $239.99

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The modern field of software metrics emerged from the computer modeling and "statistical thinking" services of the 1980s. As the field evolved, metrics programs were integrated with project management, and metrics grew to be a major tool in the managerial decision-making process of software companies. Now practitioners in the software industry have a reference that validates software metrics as a crucial tool for efficient and successful project management and execution.
Software Metrics: A Guide to Planning, Analysis, and Application simplifies software measurement and explains its value as a pragmatic tool for management. Ideas and techniques presented in this book are derived from best practices. The ideas are field-proven, down to earth, and straightforward, making this volume an invaluable resource for those striving for process improvement.
This overview helps readers enrich their knowledge of measurements and analysis, best practices, and how ordinary analysis techniques can be applied to achieve extraordinary results. Easy-to-understand tools and methods are applied to demonstrate how metrics create models that are indispensable to decision-making in the software industry.


Software Performance And Scalability

RRP $110.00

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<b>Praise from the Reviewers:</b> <p> "The practicality of the subject in a real-world situation distinguishes this book from others available on the market."<br> &#8212;<b>Professor Behrouz Far</b>, University of Calgary <p> "This book could replace the computer organization texts now in use that every CS and CpE student must take. . . . It is much needed, well written, and thoughtful."<br> &#8212;<b>Professor Larry Bernstein</b>, Stevens Institute of Technology <p> <b>A distinctive, educational text onsoftware performance and scalability</b> <p> This is the first book to take a quantitative approach to the subject of software performance and scalability. It brings together three unique perspectives to demonstrate how your products can be optimized and tuned for the best possible performance and scalability: <ul> <li> <div><b>The Basics</b>&#8212;introduces the computer hardware and software architectures that predetermine the performance and scalability of a software product as well as the principles of measuring the performance and scalability of a software product</div> <li> <div><b>Queuing Theory</b>&#8212;helps you learn the performance laws and queuing models for interpreting the underlying physics behind software performance and scalability, supplemented with ready-to-apply techniques for improving the performance and scalability of a software system</div> <li> <div><b>API Profiling</b>&#8212;shows you how to design more efficient algorithms and achieve optimized performance and scalability, aided by adopting an API profiling framework (perfBasic) built on the concept of a performance map for drilling down performance root causes at the API level</div> </ul> <p> <i>Software Performance and Scalability</i> gives you a specialized skill set that will enable you to design and build performance into your products with immediate, measurable improvements. Complemented with real-world case studies, it is an indispensable resource for software developers, quality and performance assurance engineers, architects, and managers. It is anideal text for university courses related to computer and software performance evaluation and can also be used to supplement a course in computer organization or in queuing theory for upper-division and graduate computer science students. <p> &#160;


Data Organization In Parallel Computers

RRP $546.99

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The organization of data is clearly of great importance in the design of high performance algorithms and architectures. Although there are several landmark papers on this subject, no comprehensive treatment has appeared. This monograph is intended to fill that gap. We introduce a model of computation for parallel computer architec- tures, by which we are able to express the intrinsic complexity of data or- ganization for specific architectures. We apply this model of computation to several existing parallel computer architectures, e.g., the CDC 205 and CRAY vector-computers, and the MPP binary array processor. The study of data organization in parallel computations was introduced as early as 1970. During the development of the ILLIAC IV system there was a need for a theory of possible data arrangements in interleaved mem- ory systems. The resulting theory dealt primarily with storage schemes also called skewing schemes for 2-dimensional matrices, i.e., mappings from a- dimensional array to a number of memory banks. By means of the model of computation we are able to apply the theory of skewing schemes to var- ious kinds of parallel computer architectures. This results in a number of consequences for both the design of parallel computer architectures and for applications of parallel processing.


Hardware Software Co-design Of A Multimedia Soc Platform

RRP $68.00

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Hardware Software Co-Design of a Multimedia SOC Platform is one of the first of its kinds to provide a comprehensive overview of the design and implementation of the hardware and software of an SoC platform for multimedia applications. Topics covered in this book range from system level design methodology, multimedia algorithm implementation, a sub-word parallel, single-instruction-multiple data (SIMD) processor design, and its virtual platform implementation, to the development of an SIMD parallel compiler as well as a real-time operating system (RTOS). Hardware Software Co-Design of a Multimedia SOC Platform is written for practitioner engineers and technical managers who want to gain first hand knowledge about the hardware-software design process of an SoC platform. It offers both tutorial-like details to help readers become familiar with a diverse range of subjects, and in-depth analysis for advanced readers to pursue further.



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