Statistical Software Engineering

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Statistical Software Engineering

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309176085
Total Pages : 83 pages
Book Rating : 4.3/5 (91 download)

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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 and published by National Academies Press. This book was released on 1996-03-15 with total page 83 pages. 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.

Statistical Methods in Software Engineering

Author : Nozer D. Singpurwalla
Publisher : Springer Science & Business Media
ISBN 13 : 0387988238
Total Pages : 316 pages
Book Rating : 4.3/5 (879 download)

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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 and published by Springer Science & Business Media. This book was released on 1999-08-05 with total page 316 pages. 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

Author : Panel on Statistical Methods in Software Engineering
Publisher : National Academies Press
ISBN 13 : 0309588545
Total Pages : 84 pages
Book Rating : 4.3/5 (95 download)

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Book Synopsis Statistical Software Engineering by : Panel on Statistical Methods in Software Engineering

Download or read book Statistical Software Engineering written by Panel on Statistical Methods in Software Engineering and published by National Academies Press. This book was released on 1996-03-29 with total page 84 pages. 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.

Statistical Methods in Software Engineering

Author : Nozer D. Singpurwalla
Publisher : Springer Science & Business Media
ISBN 13 : 1461205654
Total Pages : 302 pages
Book Rating : 4.4/5 (612 download)

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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 and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 302 pages. 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.

Simple Statistical Methods for Software Engineering

Author : C. Ravindranath Pandian
Publisher : CRC Press
ISBN 13 : 143981662X
Total Pages : 373 pages
Book Rating : 4.4/5 (398 download)

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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 and published by CRC Press. This book was released on 2015-05-21 with total page 373 pages. 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

Experimentation in Software Engineering

Author : Claes Wohlin
Publisher : Springer Science & Business Media
ISBN 13 : 3642290442
Total Pages : 249 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Experimentation in Software Engineering by : Claes Wohlin

Download or read book Experimentation in Software Engineering written by Claes Wohlin and published by Springer Science & Business Media. This book was released on 2012-06-16 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Measuring the Software Process

Author : William A. Florac
Publisher : Addison-Wesley Professional
ISBN 13 : 0768684951
Total Pages : 280 pages
Book Rating : 4.7/5 (686 download)

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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 and published by Addison-Wesley Professional. This book was released on 1999-07-15 with total page 280 pages. 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.

Perspectives on Data Science for Software Engineering

Author : Tim Menzies
Publisher : Morgan Kaufmann
ISBN 13 : 0128042613
Total Pages : 410 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Perspectives on Data Science for Software Engineering by : Tim Menzies

Download or read book Perspectives on Data Science for Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2016-07-14 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Applied Statistics for Software Managers

Author : Katrina Maxwell
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Applied Statistics for Software Managers by : Katrina Maxwell

Download or read book Applied Statistics for Software Managers written by Katrina Maxwell and published by Prentice Hall. This book was released on 2002 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Software Engineering Measurement

Author : Ph.D., John C. Munson
Publisher : CRC Press
ISBN 13 : 020301118X
Total Pages : 466 pages
Book Rating : 4.2/5 (3 download)

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Book Synopsis Software Engineering Measurement by : Ph.D., John C. Munson

Download or read book Software Engineering Measurement written by Ph.D., John C. Munson and published by CRC Press. This book was released on 2003-03-12 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Guide to Advanced Empirical Software Engineering

Author : Forrest Shull
Publisher : Springer Science & Business Media
ISBN 13 : 1848000448
Total Pages : 393 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Guide to Advanced Empirical Software Engineering by : Forrest Shull

Download or read book Guide to Advanced Empirical Software Engineering written by Forrest Shull and published by Springer Science & Business Media. This book was released on 2007-11-21 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Dependable Computing for Critical Applications

Author : Algirdas Avizienis
Publisher : Springer Science & Business Media
ISBN 13 : 3709191238
Total Pages : 428 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Dependable Computing for Critical Applications by : Algirdas Avizienis

Download or read book Dependable Computing for Critical Applications written by Algirdas Avizienis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Working Conference on Dependable Computing for Critical Applications was the first conference organized by IFIP Working Group 10. 4 "Dependable Computing and Fault Tolerance", in cooperation with the Technical Committee on Fault-Tolerant Computing of the IEEE Computer Society, and the Technical Committee 7 on Systems Reliability, Safety and Security of EWlCS. The rationale for the Working Conference is best expressed by the aims of WG 10. 4: " Increasingly, individuals and organizations are developing or procuring sophisticated computing systems on whose services they need to place great reliance. In differing circumstances, the focus will be on differing properties of such services - e. g. continuity, performance, real-time response, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions. The notion of dependability, defined as that property of a computing system which allows reliance to be justifiably placed on the service it delivers, enables these various concerns to be subsumed within a single conceptual framework. Dependability thus includes as special cases such attributes as reliability, availability, safety, security. The Working Group is aimed at identifying and integrating approaches, methods and techniques for specifying, designing, building, assessing, validating, operating and maintaining computer systems which should exhibit some or all of these attributes. " The concept of WG 10. 4 was formulated during the IFIP Working Conference on Reliable Computing and Fault Tolerance on September 27-29, 1979 in London, England, held in conjunction with the Europ-IFIP 79 Conference. Profs A. Avi~ienis (UCLA, Los Angeles, USA) and A.

Statistical Software Engineering

Author :
Publisher :
ISBN 13 :
Total Pages : 82 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis Statistical Software Engineering by :

Download or read book Statistical Software Engineering written by and published by . This book was released on 1998 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report spotlights problem areas in software engineering to which the application of modern statistical methodology can be fruitfully applied. It was produced by an expert cross-disciplinary National Research Council panel. The panel deliberated, discussed, and made recommendations based upon their experience and on information gathered at a two-day public forum at which there were presentations by 12 software and industrial engineers, scientists, and statisticians. The most important findings are: What is needed to address the challenge of cost-effectively building huge high quality software systems is productive interactions between software engineers and statisticians. Essential catalysts for this interactions include: Following a collaborative model that partners statisticians, software engineers and a REAL software process or product; following a model for data collection and analysis that ensures availability of high quality data for statistical approaches to software engineering issues; and paying attention to relevant issues in education, such as in the areas of designed experiments, exploratory data analysis, modeling, risk analysis, attitudes toward assumptions, visualization, and statistical computing tools.

Basics of Software Engineering Experimentation

Author : Natalia Juristo
Publisher : Springer Science & Business Media
ISBN 13 : 1475733046
Total Pages : 405 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Basics of Software Engineering Experimentation by : Natalia Juristo

Download or read book Basics of Software Engineering Experimentation written by Natalia Juristo and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basics of Software Engineering Experimentation is a practical guide to experimentation in a field which has long been underpinned by suppositions, assumptions, speculations and beliefs. It demonstrates to software engineers how Experimental Design and Analysis can be used to validate their beliefs and ideas. The book does not assume its readers have an in-depth knowledge of mathematics, specifying the conceptual essence of the techniques to use in the design and analysis of experiments and keeping the mathematical calculations clear and simple. Basics of Software Engineering Experimentation is practically oriented and is specially written for software engineers, all the examples being based on real and fictitious software engineering experiments.

Software Engineering Metrics and Models

Author : Samuel Daniel Conte
Publisher : Benjamin-Cummings Publishing Company
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Software Engineering Metrics and Models by : Samuel Daniel Conte

Download or read book Software Engineering Metrics and Models written by Samuel Daniel Conte and published by Benjamin-Cummings Publishing Company. This book was released on 1986 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of metrics and models in software development; Software metrics; Measurement and analysis; Small scale experiments, micro-models of effort, and programming techniques; Macro-models of productivity; Macro-models for effort estimation; Defect models; The future of software engineering metrics and models; References; Appendices; Index.

Innovations in Software Engineering for Defense Systems

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309166934
Total Pages : 88 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Innovations in Software Engineering for Defense Systems by : National Research Council

Download or read book Innovations in Software Engineering for Defense Systems written by National Research Council and published by National Academies Press. This book was released on 2003-09-22 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Contemporary Empirical Methods in Software Engineering

Author : Michael Felderer
Publisher : Springer Nature
ISBN 13 : 3030324893
Total Pages : 525 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Contemporary Empirical Methods in Software Engineering by : Michael Felderer

Download or read book Contemporary Empirical Methods in Software Engineering written by Michael Felderer and published by Springer Nature. This book was released on 2020-08-27 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research. Following an introductory chapter that outlines the background of and developments in empirical software engineering over the last 50 years and provides an overview of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or design science); Data Collection, Production, and Analysis (highlighting approaches from e.g. data science, biometric measurement, and simulation-based studies); Knowledge Acquisition and Aggregation (highlighting literature research, threats to validity, and evidence aggregation); and Knowledge Transfer (discussing open science and knowledge transfer with industry). Empirical methods like experimentation have become a powerful means of advancing the field of software engineering by providing scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in their decision-making and learning processes. Thus the book is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences. Chapter 17 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.