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Statistical Methods in Software Engineering

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Release : 1999-08-05
Genre : Computers
Kind : eBook
Book Rating : 238/5 ( reviews)

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Book Synopsis Statistical Methods in Software Engineering by : Nozer D. Singpurwalla

Download or read book Statistical Methods in Software Engineering written by Nozer D. Singpurwalla. This book was released on 1999-08-05. Available in PDF, EPUB and Kindle. Book excerpt: In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.

Statistical Software Engineering

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Release : 1996-03-15
Genre : Computers
Kind : eBook
Book Rating : 085/5 ( reviews)

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Book Synopsis Statistical Software Engineering by : National Research Council

Download or read book Statistical Software Engineering written by National Research Council. This book was released on 1996-03-15. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.

Simple Statistical Methods for Software Engineering

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Release : 2015-05-21
Genre : Computers
Kind : eBook
Book Rating : 62X/5 ( reviews)

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Book Synopsis Simple Statistical Methods for Software Engineering by : C. Ravindranath Pandian

Download or read book Simple Statistical Methods for Software Engineering written by C. Ravindranath Pandian. This book was released on 2015-05-21. Available in PDF, EPUB and Kindle. Book excerpt: Although there are countless books on statistics, few are dedicated to the application of statistical methods to software engineering. Simple Statistical Methods for Software Engineering: Data and Patterns fills that void. Instead of delving into overly complex statistics, the book details simpler solutions that are just as effective and connect wi

Statistical Methods in Software Engineering

Download Statistical Methods in Software Engineering PDF Online Free

Author :
Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 654/5 ( reviews)

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Book Synopsis Statistical Methods in Software Engineering by : Nozer D. Singpurwalla

Download or read book Statistical Methods in Software Engineering written by Nozer D. Singpurwalla. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.

Measuring the Software Process

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Release : 1999-07-15
Genre : Computers
Kind : eBook
Book Rating : 951/5 ( reviews)

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Book Synopsis Measuring the Software Process by : William A. Florac

Download or read book Measuring the Software Process written by William A. Florac. This book was released on 1999-07-15. Available in PDF, EPUB and Kindle. Book excerpt: "While it is usually helpful to launch improvement programs, many such programs soon get bogged down in detail. They either address the wrong problems, or they keep beating on the same solutions, wondering why things don't improve. This is when you need an objective way to look at the problems. This is the time to get some data." Watts S. Humphrey, from the Foreword This book, drawing on work done at the Software Engineering Institute and other organizations, shows how to use measurements to manage and improve software processes. The authors explain specifically how quality characteristics of software products and processes can be quantified, plotted, and analyzed so the performance of software development activities can be predicted, controlled, and guided to achieve both business and technical goals. The measurement methods presented, based on the principles of statistical quality control, are illuminated by application examples taken from industry. Although many of the methods discussed are applicable to individual projects, the book's primary focus is on the steps software development organizations can take toward broad-reaching, long-term success. The book particularly addresses the needs of software managers and practitioners who have already set up some kind of basic measurement process and are ready to take the next step by collecting and analyzing software data as a basis for making process decisions and predicting process performance. Highlights of the book include: Insight into developing a clear framework for measuring process behavior Discussions of process performance, stability, compliance, capability, and improvement Explanations of what you want to measure (and why) and instructions on how to collect your data Step-by-step guidance on how to get started using statistical process control If you have responsibilities for product quality or process performance and you are ready to use measurements to manage, control, and predict your software processes, this book will be an invaluable resource.

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