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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> —<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> —<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>—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>—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>—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>
Python for Software Design is a concise introduction to software design using the Python programming language.
Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS). The book will help you to choose the most appropriate package for your needs and get the most out of the software once you are using it. This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage. In the new edition, the authors present three case studies with different forms of data (text, video and mixed methods data) and show how each step in the analysis process for each project could be supported by software. The new edition will be accompanied by an extensive companion website with step-by-step instructions produced by the software developers themselves. Software programmes covered in second edition include the latest versions of: * NVivo * ATLAS.ti * DEDOOSE * TRANSANA * HyperResearch * QDA Miner Ann Lewins and Christina Silver are leading experts in the field of CAQDAS and have trained thousands of students and researchers in using software. Reading this book is like having Anna and Christina at your shoulder as you analyse your data!
"Computer Science Applications: Object Oriented Programming "is a comprehensive anthology of reference articles for first and second semester Computer Science courses. These articles, drawn from a wide variety of sources and experiences, include detailed discussions, explanations and examples that deliver an engaging learning experience for students. Using high-level concepts, rather than simply focusing on the syntax of Java, this text delivers a complete and in-depth coverage of all the essential topics typically found in the CS1 and CS2 syllabi."Computer Science Applications" is divided into seven sections, each prefaced by an overview of the topic:
Joslyn A. Smith graduated from The Mico Teachers' College, Jamaica, in 1973. He furthered his studies at Central Connecticut State University, USA, where he earned his BS and MS degrees in Mathematics in 1983. He also earned an MS degree in Computer Science from the University of New Brunswick, Canada in 1994. Mr. Smith then joined the staff at the University of the West Indies, Jamaica where he lectured in Computer Science for 14 years. He currently teaches Computer Science at Florida International University (FIU).
Software quality stems from two distinctive, but associated, topics in software engineering: software functional quality and software structural quality. Software Quality Engineering studies the tenets of both of these notions, which focus on the efficiency and value of a design, respectively. The text addresses engineering quality on both the application and system levels with attention to Information Systems and Embedded Systems as well as recent developments. Targeted at graduate engineering students and software quality specialists, the book analyzes the relationship between functionality and quality with practical applications to related ISO/IEC JTCI SC7 standards.
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