Software Metrics

Author: C. Ravindranath Pandian
Publisher: CRC Press
ISBN: 9780203496077
Format: PDF, Mobi
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The modern field of software metrics emerged from the computer modeling and "statistical thinking" services of the 1980s. As the field evolved, metrics programs were integrated with project management, and metrics grew to be a major tool in the managerial decision-making process of software companies. Now practitioners in the software industry have a reference that validates software metrics as a crucial tool for efficient and successful project management and execution. Software Metrics: A Guide to Planning, Analysis, and Application simplifies software measurement and explains its value as a pragmatic tool for management. Ideas and techniques presented in this book are derived from best practices. The ideas are field-proven, down to earth, and straightforward, making this volume an invaluable resource for those striving for process improvement. This overview helps readers enrich their knowledge of measurements and analysis, best practices, and how ordinary analysis techniques can be applied to achieve extraordinary results. Easy-to-understand tools and methods are applied to demonstrate how metrics create models that are indispensable to decision-making in the software industry.

Software Metrics

Author: B. A. Kitchenham
Publisher: Blackwell Pub
ISBN: 9781855548206
Format: PDF, ePub, Docs
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This handbook draws on the results of a DTI research programme into software metrics, DESMET. Metrics is sometimes viewed as an isolated area of software engineering, strong on theory and short on how it can realistically be used as a set of techniques that employ statistical methods to improve the effectiveness of designing and maintaining information systems.

Simple Statistical Methods for Software Engineering

Author: C. Ravindranath Pandian
Publisher: CRC Press
ISBN: 143981662X
Format: PDF
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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 with the intuition of problem solvers. Sharing valuable insights into software engineering problems and solutions, the book not only explains the required statistical methods, but also provides many examples, review questions, and case studies that provide the understanding required to apply those methods to real-world problems. After reading this book, practitioners will possess the confidence and understanding to solve day-to-day problems in quality, measurement, performance, and benchmarking. By following the examples and case studies, students will be better prepared able to achieve seamless transition from academic study to industry practices. Includes boxed stories, case studies, and illustrations that demonstrate the nuances behind proper application Supplies historical anecdotes and traces statistical methods to inventors and gurus Applies basic statistical laws in their simplest forms to resolve engineering problems Provides simple techniques for addressing the issues software engineers face The book starts off by reviewing the essential facts about data. Next, it supplies a detailed review and summary of metrics, including development, maintenance, test, and agile metrics. The third section covers the fundamental laws of probability and statistics and the final section presents special data patterns in the form of tailed mathematical distributions. In addition to selecting simpler and more flexible tools, the authors have also simplified several standard techniques to provide you with the set of intellectual tools all software engineers and managers require.

Software Measurement

Author: Christof Ebert
Publisher: Springer Science & Business Media
ISBN: 3540716491
Format: PDF, Kindle
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In this comprehensive introduction to software measurement, Ebert and Dumke detail knowledge and experiences about the subject in an easily understood, hands-on presentation. The book describes software measurement in theory and practice as well as provides guidance to all relevant measurement tools and online references. In addition, it presents hands-on experience from industry leaders and provides many examples and case studies from Global 100 companies. Besides the many practical hints and checklists, readers will also appreciate the large reference list, which includes links to metrics communities where project experiences are shared.

Software Quality Assurance

Author: Nina S. Godbole
Publisher: Alpha Science Int'l Ltd.
ISBN: 9781842651766
Format: PDF
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Software Quality Assurance (SQA) as a professional domain is becoming increasingly important. The purpose of this book is to provide practical insight into the topic of Software Quality Assurance.

Applying Software Metrics

Author: Paul Oman
Publisher: John Wiley & Sons
ISBN: 9780818676451
Format: PDF, ePub
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Why measure?; What to measure?; How is measuring done?; How are metrics used?; How is the metrics program improved?; Epilog; Glossary.

An Integrated Approach to Software Engineering

Author: Pankaj Jalote
Publisher: Springer Science & Business Media
ISBN: 9780387948997
Format: PDF, ePub, Docs
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This textbook provides an introduction to software engineering for undergraduate students of computer science. Its emphasis is on a case study approach in which a project is developed through the course of the book illustrating the different activities of software development. The sequence of chapters is essentially the same as the sequence of activities performed during a typical software project. All activities, including quality assurance and control activities, are described in each chapter as integral activities for that phase of the development process. Similarly, the author carefully introduces appropriate metrics for controlling and assessing the software process. This book is intended for students who have had no previous training in software engineering and is suitable for a one semester course. In this new edition two trends are clearly highlighted: software processes and object orientation. From reviews of the first edition "I can recommend this book for classroom adoption or individual study..." Computing Reviews "Overall, the book is very readable and exceptionally well organized ... exposes the reader to many current sophistictaed formal and quantitative methods." American Scientist

Practical risk assessment for project management

Author: Stephen Grey
Publisher: John Wiley & Sons Inc
ISBN: 9780471939795
Format: PDF, Docs
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In the estimating, planning and management of any project, large or small, an understanding of the impact of risk is critical. This book explains how the growing number of people choosing to or forced to organise their work as projects can make realistic assessments of the uncertainty affecting costs, timescale and revenue, before commitments are made. A clear analysis of the role of uncertainty is combined in this concise and practical handbook with simple, cost-effective techniques for measuring and modelling the overall risk to a project's budget and schedule. There is advice and help here for the whole project team, including project managers; bid managers; project sales professionals; planners; estimators; managers running a project-based business; and consultants and auditors advising a projects business. Drawn from the author's extensive experience on projects ranging in scale from a few man-months to hundreds of man-years, the book will beelevant to anyone involved in a project-based business. Examples are presented as simple models, built in spreadsheets using the @Risk software package. No more than basic knowledge of Lotus 1-2-3?? or Excel?? will be required by the reader.