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Software Metrics

Software Metrics Author Norman Fenton
ISBN-10 9781439838235
Release 2014-10-01
Pages 617
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A Framework for Managing, Measuring, and Predicting Attributes of Software Development Products and Processes Reflecting the immense progress in the development and use of software metrics in the past decades, Software Metrics: A Rigorous and Practical Approach, Third Edition provides an up-to-date, accessible, and comprehensive introduction to software metrics. Like its popular predecessors, this third edition discusses important issues, explains essential concepts, and offers new approaches for tackling long-standing problems. New to the Third Edition This edition contains new material relevant to object-oriented design, design patterns, model-driven development, and agile development processes. It includes a new chapter on causal models and Bayesian networks and their application to software engineering. This edition also incorporates recent references to the latest software metrics activities, including research results, industrial case studies, and standards. Suitable for a Range of Readers With numerous examples and exercises, this book continues to serve a wide audience. It can be used as a textbook for a software metrics and quality assurance course or as a useful supplement in any software engineering course. Practitioners will appreciate the important results that have previously only appeared in research-oriented publications. Researchers will welcome the material on new results as well as the extensive bibliography of measurement-related information. The book also gives software managers and developers practical guidelines for selecting metrics and planning their use in a measurement program.



Five Core Metrics

Five Core Metrics Author Lawrence Putnam
ISBN-10 9780133489224
Release 2013-07-18
Pages 144
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This is the digital version of the printed book (Copyright © 2003). To succeed in the software industry, managers need to cultivate a reliable development process. By measuring what teams have achieved on previous projects, managers can more accurately set goals, make bids, and ensure the successful completion of new projects. Acclaimed long-time collaborators Lawrence H. Putnam and Ware Myers present simple but powerful measurement techniques to help software managers allocate limited resources and track project progress. Drawing new findings from an extensive database of software project metrics, the authors demonstrate how readers can control projects with just Five Core Metrics –Time, Effort, Size, Reliability, and Process Productivity. With these metrics, managers can adjust ongoing projects to changing conditions–surprises that would otherwise cause project failure.



The Economics of Software Quality

The Economics of Software Quality Author Capers Jones
ISBN-10 9780132564731
Release 2011-07-19
Pages 624
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“Whether consulting, working on projects, or teaching, whenever I need credible, detailed, relevant metrics and insights into the current capabilities and performance of the software engineering profession, I always turn first to Capers Jones’ work. In this important new book, he and Olivier Bonsignour make the hard-headed, bottom-line, economic case, with facts and data, about why software quality is so important. I know I’ll turn to this excellent reference again and again.” —Rex Black, President, RBCS Poor quality continues to bedevil large-scale development projects, but few software leaders and practitioners know how to measure quality, select quality best practices, or cost-justify their usage. In The Economics of Software Quality, leading software quality experts Capers Jones and Olivier Bonsignour show how to systematically measure the economic impact of quality and how to use this information to deliver far more business value. Using empirical data from hundreds of software organizations, Jones and Bonsignour show how integrated inspection, structural quality measurement, static analysis, and testing can achieve defect removal rates exceeding 95 percent. They offer innovative guidance for predicting and measuring defects and quality; choosing defect prevention, pre-test defect removal, and testing methods; and optimizing post-release defect reporting and repair. This book will help you Move beyond functional quality to quantify non-functional and structural quality Prove that improved software quality translates into strongly positive ROI and greatly reduced TCO Drive better results from current investments in Quality Assurance and Testing Use quality improvement techniques to stay on schedule and on budget Avoid “hazardous” metrics that lead to poor decisions



Software Metrics and Software Metrology

Software Metrics and Software Metrology Author Alain Abran
ISBN-10 1118029321
Release 2010-11-19
Pages 328
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Most of the software measures currently proposed to the industry bring few real benefits to either software managers or developers. This book looks at the classical metrology concepts from science and engineering, using them as criteria to propose an approach to analyze the design of current software measures and then design new software measures (illustrated with the design of a software measure that has been adopted as an ISO measurement standard). The book includes several case studies analyzing strengths and weaknesses of some of the software measures most often quoted. It is meant for software quality specialists and process improvement analysts and managers.



Metrics and Models in Software Quality Engineering

Metrics and Models in Software Quality Engineering Author Stephen H. Kan
ISBN-10 0201729156
Release 2003
Pages 528
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Seven new chapters and exhaustive coverage of process improvement, testing, and quality assurance bulk up this new edition. The book contains numerous real-life examples based on the author's work at the Malcolm Baldrige Award-winning software development laboratory at IBM Rochester, MN.



Object oriented Metrics

Object oriented Metrics Author Brian Henderson-Sellers
ISBN-10 0132398729
Release 1996
Pages 234
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Object-oriented (OO) metrics are an integral part of object technology — at the research level and in commercial software development projects. This book offers theoretical and empirical tips and facts for creating an OO complexity metrics (measurement) program, based on a review of existing research from the last several years. Covers moving through object-oriented concepts as they related to managing the project lifecycle; the framework in which metrics exist; structural complexity metrics for traditional systems; OO product metrics; and current industrial applications. For software developers, programmers, and managers.



Software Metrics

Software Metrics Author Robert B. Grady
ISBN-10 UVA:X001360969
Release 1987
Pages 288
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This book tells of one company's need for a measurable, controllable software process and of the very professional effort in the company mounted to meet that need.



Risk Assessment and Decision Analysis with Bayesian Networks

Risk Assessment and Decision Analysis with Bayesian Networks Author Norman Fenton
ISBN-10 9781439809112
Release 2012-11-07
Pages 524
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Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models. Keeping the body of the text free of intimidating mathematics, the book provides pragmatic advice about model building to ensure models are built efficiently. A dedicated website, www.BayesianRisk.com, contains executable versions of all of the models described, exercises and worked solutions for all chapters, PowerPoint slides, numerous other resources, and a free downloadable copy of the AgenaRisk software.



Introduction to Software Testing

Introduction to Software Testing Author Paul Ammann
ISBN-10 9781107172012
Release 2016-12-13
Pages 364
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This classroom-tested new edition features expanded coverage of the basics and test automation frameworks, with new exercises and examples.



Introduction to Combinatorial Testing

Introduction to Combinatorial Testing Author D. Richard Kuhn
ISBN-10 9781466552302
Release 2016-04-19
Pages 341
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Combinatorial testing of software analyzes interactions among variables using a very small number of tests. This advanced approach has demonstrated success in providing strong, low-cost testing in real-world situations. Introduction to Combinatorial Testing presents a complete self-contained tutorial on advanced combinatorial testing methods for real-world software. The book introduces key concepts and procedures of combinatorial testing, explains how to use software tools for generating combinatorial tests, and shows how this approach can be integrated with existing practice. Detailed explanations and examples clarify how and why to use various techniques. Sections on cost and practical considerations describe tradeoffs and limitations that may impact resources or funding. While the authors introduce some of the theory and mathematics of combinatorial methods, readers can use the methods without in-depth knowledge of the underlying mathematics. Accessible to undergraduate students and researchers in computer science and engineering, this book illustrates the practical application of combinatorial methods in software testing. Giving pointers to freely available tools and offering resources on a supplementary website, the book encourages readers to apply these methods in their own testing projects.



Speed Data and Ecosystems

Speed  Data  and Ecosystems Author Jan Bosch
ISBN-10 9781351982726
Release 2017-01-06
Pages 343
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As software R&D investment increases, the benefits from short feedback cycles using technologies such as continuous deployment, experimentation-based development, and multidisciplinary teams require a fundamentally different strategy and process. This book will cover the three overall challenges that companies are grappling with: speed, data and ecosystems. Speed deals with shortening the cycle time in R&D. Data deals with increasing the use of and benefit from the massive amounts of data that companies collect. Ecosystems address the transition of companies from being internally focused to being ecosystem oriented by analyzing what the company is uniquely good at and where it adds value.



Software metrics

Software metrics Author Norman E. Fenton
ISBN-10 0412404400
Release 1991
Pages 337
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Software metrics has been writing in one form or another for most of life. You can find so many inspiration from Software metrics also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Software metrics book for free.



Software Development Metrics

Software Development Metrics Author Dave Nicolette
ISBN-10 1617291358
Release 2015-05-01
Pages 275
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Managers and team leads can be blindsided by delivery issues they can't see coming when the things that keep them informed aren't being measured. Successful teams select and use practical metrics for managing projects and tracking process improvement that align with their organizational objectives and software development method. Software Development Metrics is a handbook for anyone who needs to track and guide software development and delivery at the team level. New development practices, including "agile" methodologies like Scrum, have redefined which measurements are most meaningful and under what conditions readers can benefit from them. It identifies key characteristics of organizational structure, process models, and development methods, and it describes the uses, mechanics, and common abuses of a number of metrics that are useful for steering and for monitoring process improvement. Another positive feature of this book is that the insights and techniques in this book are based entirely on field experience. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.



Computerized Multistage Testing

Computerized Multistage Testing Author Duanli Yan
ISBN-10 9781466505803
Release 2016-04-19
Pages 546
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Devising tests that evaluate a nation’s educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. Computerized Multistage Testing: Theory and Applications covers the methodologies, underlying technology, and implementation aspects of this type of test design. The book discusses current scientific perspectives and practical considerations for each step involved in setting up an MST program. It covers the history of MST, test design and implementation for various purposes, item pool development and maintenance, IRT-based and classical test theory-based methodologies for test assembly, routing and scoring, equating, test security, and existing software. It also explores current research, existing operational programs, and innovative future assessments using MST. Intended for psychologists, social scientists, and educational measurement scientists, this volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions. Winner of the 2016 AERA Award for Significant Contribution to Educational Measurement and Research Methodology The 2016 American Education Research Association (AERA) Div. D award committee for Significant Contributions to Educational Measurement and Research Methodology has recognized unanimously this collaborative work advancing the theory and applications of computerized MST. This annual award recognizes published research judged to represent a significant conceptual advancement in the theory and practice of educational measurement and/or educational research methodology. The 2016 award was made under the heading: Measurement, Psychometrics, and Assessment. This collective work, published in 2014 as an edited volume titled Computerized Multistage Testing: Theory and Applications, was cited by the committee both for the originality of the conceptual foundations presented in support of multistage testing and for arguing persuasively for its potential impact on the practice of educational measurement.



Introduction to Software Engineering

Introduction to Software Engineering Author Ronald J. Leach
ISBN-10 0849314453
Release 1999-11-24
Pages 448
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Software engineering lies at the heart of the computer revolution. Software is used in automobiles, airplanes, and many home appliances. As the boundaries between the telecommunications, entertainment, and computer industries continue to blur in multimedia and networking, the need for software will only increase, and software will become increasingly complex. Introduction to Software Engineering gives your students the fundamentals of this growing and rapidly changing field. The book highlights the goals of software engineering, namely to write programs that have all the following attributes: efficient, reliable, usable, modifiable, portable, testable, reusable, maintainable, compatible and correct. The nine chapters cover topics that include project management, defining requirements, software design, coding, testing and integration, delivery and installation, documentation, maintenance, and research issues. The author uses a hybrid approach, combining object-oriented technology and classical programming techniques to solve computing problems. He also places a strong emphasis on Internet technology and resources. A simple, but non-trivial, running example illustrates all stages of the software engineering process. In addition, where applicable, he covers the impact of Internet technology. Introduction to Software Engineering presents the basics of software engineering in a concise and direct format. With emphasis on Internet technology, software tools for programming, and hands-on learning, this book effectively prepares students to move from an educational situation towards applying their knowledge to the complex projects faced in the professional arena. Features



Practical Software Metrics for Project Management and Process Improvement

Practical Software Metrics for Project Management and Process Improvement Author Robert B. Grady
ISBN-10 UOM:39015025399034
Release 1992
Pages 270
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This application-oriented book shows how to apply proven software metrics and methods to efficiently manage software development and maintenance--to help boost productivity, efficiency, and quality of software projects at every stage of the process. Detailing practical methods throughout, the book covers tips to best measure and present progress, a useful model for understanding organization limitations, possible problems in process improvement illustrated by examples, evidence of what works and what doesn't work, and more. An ideal reference for project managers and professionals responsible for process improvement.n



Guide to Advanced Empirical Software Engineering

Guide to Advanced Empirical Software Engineering Author Forrest Shull
ISBN-10 9781848000445
Release 2007-11-21
Pages 388
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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