Statistical Software Engineering

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Panel on Statistical Methods in Software Engineering
Publisher : National Academies Press
Page : 83 pages
File Size : 53,6 Mb
Release : 1996-03-15
Category : Computers
ISBN : 9780309176088

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Statistical Software Engineering by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Panel on Statistical Methods in Software Engineering Pdf

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.

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Panel on Statistical Methods in Software Engineering
Publisher : National Academies Press
Page : 84 pages
File Size : 46,7 Mb
Release : 1996-04-15
Category : Computers
ISBN : 9780309053440

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Statistical Software Engineering by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Panel on Statistical Methods in Software Engineering Pdf

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.

Author : Nozer D. Singpurwalla,Simon P. Wilson
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 45,5 Mb
Release : 1999-08-05
Category : Computers
ISBN : 9780387988238

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Statistical Methods in Software Engineering by Nozer D. Singpurwalla,Simon P. Wilson Pdf

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.

Author : Nozer D. Singpurwalla,Simon P. Wilson
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 53,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461205654

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Statistical Methods in Software Engineering by Nozer D. Singpurwalla,Simon P. Wilson Pdf

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.

Author : C. Ravindranath Pandian,Murali Kumar
Publisher : CRC Press
Page : 373 pages
File Size : 42,9 Mb
Release : 2015-05-21
Category : Computers
ISBN : 9781439816622

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Simple Statistical Methods for Software Engineering by C. Ravindranath Pandian,Murali Kumar Pdf

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

Author : Claes Wohlin,Per Runeson,Martin Höst,Magnus C. Ohlsson,Björn Regnell,Anders Wesslén
Publisher : Springer Science & Business Media
Page : 249 pages
File Size : 50,8 Mb
Release : 2012-06-16
Category : Computers
ISBN : 9783642290442

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Experimentation in Software Engineering by Claes Wohlin,Per Runeson,Martin Höst,Magnus C. Ohlsson,Björn Regnell,Anders Wesslén Pdf

Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.

Author : William A. Florac,Anita D. Carleton
Publisher : Addison-Wesley Professional
Page : 280 pages
File Size : 42,6 Mb
Release : 1999-07-15
Category : Computers
ISBN : 9780768684957

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Measuring the Software Process by William A. Florac,Anita D. Carleton Pdf

"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.

Author : United States. Bureau of Labor Statistics
Publisher : Unknown
Page : 740 pages
File Size : 46,6 Mb
Release : 1957
Category : Employment forecasting
ISBN : IND:30000089076727

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Occupational Outlook Handbook by United States. Bureau of Labor Statistics Pdf

Author : Forrest Shull,Janice Singer,Dag I. K. Sjøberg
Publisher : Springer Science & Business Media
Page : 393 pages
File Size : 45,6 Mb
Release : 2007-11-21
Category : Computers
ISBN : 9781848000445

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Guide to Advanced Empirical Software Engineering by Forrest Shull,Janice Singer,Dag I. K. Sjøberg Pdf

This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts

Author : Katrina Maxwell
Publisher : Prentice Hall
Page : 360 pages
File Size : 46,7 Mb
Release : 2002
Category : Computers
ISBN : UOM:39015055195377

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Applied Statistics for Software Managers by Katrina Maxwell Pdf

Applied Statistics for Software Managers is the first complete guide to using statistical techniques to solve specific software development and maintenance problems. You don't need a mathematical background; Katrina Maxwell presents an easy-to-follow methodology and detailed case studies that show you exactly how to assess productivity, time to market, development costs, maintenance cost drivers, and more.

Author : National Research Council,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems
Publisher : National Academies Press
Page : 87 pages
File Size : 46,7 Mb
Release : 2003-09-22
Category : Social Science
ISBN : 9780309166935

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Innovations in Software Engineering for Defense Systems by National Research Council,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems Pdf

Recent rough estimates are that the U.S. Department of Defense (DoD) spends at least $38 billion a year on the research, development, testing, and evaluation of new defense systems; approximately 40 percent of that cost-at least $16 billion-is spent on software development and testing. There is widespread understanding within DoD that the effectiveness of software-intensive defense systems is often hampered by low-quality software as well as increased costs and late delivery of software components. Given the costs involved, even relatively incremental improvements to the software development process for defense systems could represent a large savings in funds. And given the importance of producing defense software that will carry out its intended function, relatively small improvements to the quality of defense software systems would be extremely important to identify. DoD software engineers and test and evaluation officials may not be fully aware of a range of available techniques, because of both the recent development of these techniques and their origination from an orientation somewhat removed from software engineering, i.e., from a statistical perspective. The panel's charge therefore was to convene a workshop to identify statistical software engineering techniques that could have applicability to DoD systems in development.

Author : Ph.D., John C. Munson
Publisher : CRC Press
Page : 466 pages
File Size : 49,5 Mb
Release : 2003-03-12
Category : Computers
ISBN : 9780203011188

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Software Engineering Measurement by Ph.D., John C. Munson Pdf

The product of many years of practical experience and research in the software measurement business, this technical reference helps you select what metrics to collect, how to convert measurement data to management information, and provides the statistics necessary to perform these conversions. The author explains how to manage software development

Author : Burr
Publisher : Arden Shakespeare
Page : 128 pages
File Size : 42,7 Mb
Release : 1995-09-01
Category : Electronic
ISBN : 0412606003

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Statistical Tools for Software Engineering by Burr Pdf

Author : David R. Lemmon,Joseph L. Schafer
Publisher : Springer Science & Business Media
Page : 348 pages
File Size : 41,9 Mb
Release : 2005-05-06
Category : Computers
ISBN : 0387238174

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Developing Statistical Software in Fortran 95 by David R. Lemmon,Joseph L. Schafer Pdf

Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. Topics include how to: Program in Fortran 95 using a pseudo object-oriented style Write accurate and efficient computational procedures Create console applications Build dynamic-link libraries (DLLs) and Windows-based software components Develop graphical user interfaces (GUIs) Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a tutorial on creating GUIs for Fortran computational code using Visual Basic.NET. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing. From the reviews: "This book should be read by all statisticians, engineers, and scientists who want to implement an algorithm as a computer program. The book is the best introduction to programming that I have ever read. I value it as one of my important reference books in my personal library." Melvin J. Hinich for Techonmetrics, November 2006 "Overall, the book is well written and provides a reasonable introduction to the use of modern versions of Fortran for statistical computation. The real thrust of the book is building COM interfaces using Fortran, and it will no doubt be most useful to anyone who needs to build such interfaces." Journal of the American Statistical Association, June 2006 "The book is well written and is divided into chapters and sections which are coherent...Overall the book seems like a good resource for someone that already knows some dialect of FORTRAN and wants to learn a bit about what is new in FORTRAN 95..." Robert Gentleman for the Journal of Statistical Software, December 2006

Author : William A. Florac,Anita D. Carleton
Publisher : Addison-Wesley Professional
Page : 280 pages
File Size : 49,6 Mb
Release : 1999
Category : Computers
ISBN : 0201604442

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Measuring the Software Process by William A. Florac,Anita D. Carleton Pdf

"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.