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Software Development Measurement Programs: Development, Management and Evolution 1st ed. 2018 Edition

4.0 4.0 out of 5 stars 1 rating

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This book seeks to promote the structured, standardized and accurate use of software measurement at all levels of modern software development companies. To do so, it focuses on seven main aspects: sound scientific foundations, cost-efficiency, standardization, value-maximization, flexibility, combining organizational and technical aspects, and seamless technology integration. Further, it supports companies in their journey from manual reporting to automated decision support by combining academic research and industrial practice.
When scientists and engineers measure something, they tend to focus on two different things. Scientists focus on the ability of the measurement to quantify whatever is being measured; engineers, however, focus on finding the right qualities of measurement given the designed system (e.g. correctness), the system’s quality of use (e.g. ease of use), and the efficiency of the measurement process. In this book, the authors arguethat both focuses are necessary, and that the two are complementary. Thus, the book is organized as a gradual progression from theories of measurement (yes, you need theories to be successful!) to practical, organizational aspects of maintaining measurement systems (yes, you need the practical side to understand how to be successful).
The authors of this book come from academia and industry, where they worked together for the past twelve years. They have worked with both small and large software development organizations, as researchers and as measurement engineers, measurement program leaders and even teachers. They wrote this book to help readers define, implement, deploy and maintain company-wide measurement programs, which consist of a set of measures, indicators and roles that are built around the concept of measurement systems. Based on their experiences introducing over 40,000 measurement systems at over a dozen companies, they share essential tips and tricks on how to do it right and how to avoid common pitfalls.
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This book seeks to promote the structured, standardized and accurate use of software measurement at all levels of modern software development companies. To do so, it focuses on seven main aspects: sound scientific foundations, cost-efficiency, standardization, value-maximization, flexibility, combining organizational and technical aspects, and seamless technology integration. Further, it supports companies in their journey from manual reporting to automated decision support by combining academic research and industrial practice.
When scientists and engineers measure something, they tend to focus on two different things. Scientists focus on the ability of the measurement to quantify whatever is being measured; engineers, however, focus on finding the right qualities of measurement given the designed system (e.g. correctness), the system’s quality of use (e.g. ease of use), and the efficiency of the measurement process. In this book, the authors arguethat both focuses are necessary, and that the two are complementary. Thus, the book is organized as a gradual progression from theories of measurement (yes, you need theories to be successful!) to practical, organizational aspects of maintaining measurement systems (yes, you need the practical side to understand how to be successful).
The authors of this book come from academia and industry, where they worked together for the past twelve years. They have worked with both small and large software development organizations, as researchers and as measurement engineers, measurement program leaders and even teachers. They wrote this book to help readers define, implement, deploy and maintain company-wide measurement programs, which consist of a set of measures, indicators and roles that are built around the concept of measurement systems. Based on their experiences introducing over 40,000 measurement systems at over a dozen companies, they share essential tips and tricks on how to do it right and how to avoid common pitfalls.

About the Author

Miroslaw Staron is Professor in the Department of Computer Science and Engineering at the University of Gothenburg, Sweden. He has published extensively on software metrics, model-driven software development and empirical software engineering and cooperates with Ericsson, Volvo and other telecom companies and car manufacturers.

Product details

  • Publisher ‏ : ‎ Springer; 1st ed. 2018 edition (July 31, 2018)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 277 pages
  • ISBN-10 ‏ : ‎ 3319918354
  • ISBN-13 ‏ : ‎ 978-3319918358
  • Item Weight ‏ : ‎ 1.25 pounds
  • Dimensions ‏ : ‎ 6.14 x 0.69 x 9.21 inches
  • Customer Reviews:
    4.0 4.0 out of 5 stars 1 rating

About the author

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Miroslaw Staron
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Miroslaw Staron is a professor of software engineering at the University of Gothenburg. His research interests include software modeling, design, metrics, and decision support.

Prof. Staron received a PhD in software engineering from the Blekinge Institute of Technology.

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  • Reviewed in the United States on May 19, 2020
    The book is in fact very good, however the format is awful, fixed and cannot be reformatted other than black on white and fit to phone width.