Software development measurement programs : development, management and evolution / Miroslaw Staron, Wilhelm Meding.
Staron, Miroslaw, author.; Meding, Wilhelm, author.
2018
QA76.758
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Title Software development measurement programs : development, management and evolution / Miroslaw Staron, Wilhelm Meding.
Author Staron, Miroslaw, author.
ISBN 9783319918365 (electronic book)
3319918362 (electronic book)
3319918354
9783319918358
9783319918358
3319918354
DOI https://doi.org/10.1007/978-3-319-91836-5
Published Cham : Springer, 2018.
Language English
Description 1 online resource
Item Number 10.1007/978-3-319-91836-5 doi
9783319918358
Call Number QA76.758
Dewey Decimal Classification 005.1
Summary 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 argue that 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (viewed July 20, 2018).
Added Author Meding, Wilhelm, author.
Available in Other Form Software development measurement programs.
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Intro; Foreword by Tom Gilb; Engineering Metrics Are a Necessary Tool for Software Development; Foreword by Alain Abran; Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Academic and Industrial View on Software Measurement; 1.2 What a Measurement Program Is: A Brief Introduction; 1.3 What a Successful Measurement Program Is; 1.4 A Brief History of Software Measurements; 1.5 Measures in Decision Processes; 1.5.1 Decisions-Measures Dependency Model; 1.5.2 Effective and Efficient Measures for DecisionFormulation; 1.6 Content of This Book; 1.6.1 Chapter 2: Foundations.

1.6.2 Chapter 3: Measurement Programs1.6.3 Chapter 4: Quality of Measurement Programs; 1.6.4 Chapter 5: Tooling in Measurement Programs; 1.6.5 Chapter 6: Measures in Measurement Programs; 1.6.6 Chapter 7: New Techniques; 1.6.7 Chapter 8: Maintaining and Evolving Measurement Programs; 1.6.8 Chapter 9: Summary and New Directions; 1.7 So, Let's Start; 1.8 Related Reading; References; 2 Fundamentals; 2.1 Introduction; 2.2 Software Metrology and the VIM Standard; 2.2.1 Lines of Code Measure: Defined from the Perspective of the VIM Vocabulary; 2.3 Mapping of Real-World Objects to Measures.

2.4 The Concept of Measurement Error2.4.1 Impact of Measurement Error on Predictions: Standard Error of the Estimate; 2.5 ISO 15939: Measurement Processes; 2.5.1 Base Measures and Measurement Methods; 2.5.2 Derived Measures and Measurement Functions; 2.5.3 Indicators and Analysis Model; 2.5.4 Definition of Test Progress Using the ISO/IEC 15939 Measurement Information Model; 2.6 ISO 25000: SQuARE; 2.7 Other Standards; 2.8 Scientific Work Provides Closure to the Standards; 2.8.1 Types and Properties of Measures; 2.9 Measurement Systems; 2.9.1 Architecture of a Measurement System; 2.10 Summary.

2.11 Further ReadingReferences; 3 Measurement Program; 3.1 Introduction; 3.2 Measurement Program Model; 3.2.1 Measurement Systems; 3.2.2 Information Products; 3.2.3 Measurement Experience Base; 3.2.4 Measurement Infrastructure; 3.2.5 Measurement Organization; 3.2.6 Input; 3.2.7 Output; 3.3 Processes; 3.3.1 Designing a Measurement Program; 3.3.1.1 Designing Measurement Systems; 3.3.1.2 Designing Information Products; 3.3.1.3 Designing Measurement Experience Base; 3.3.1.4 Designing the Measurement Infrastructure; 3.3.1.5 Designing the Measurement Organization.

3.3.2 Deploying a Measurement Program3.3.2.1 Deploy a Measurement System; 3.3.2.2 Deploy an Information Product; 3.3.2.3 Deploying the Measurement Experience Base; 3.3.2.4 Deploying the Measurement Infrastructure; 3.3.2.5 Deploying the Measurement Organization; 3.4 Stakeholders; 3.4.1 What Makes a Stakeholder, a Good Stakeholder?; 3.4.2 The Role of the Stakeholder in the Design and Deployment Processes; 3.4.2.1 Design Phase: Checklist; 3.4.2.2 Deployment Phase: Checklist; 3.5 Summary; 3.6 Further Reading; References; 4 Quality of Measurement Programs; 4.1 Introduction.

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