Measuring the software process

Statistical process control for software process Improvement

William Florac, Anita D. Carleton

250 pages, parution le 15/07/1999

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Résumé

Here is a guidebook that demonstrates how an organization can employ measurements to manage and improve software processes. Specifically, this book explains how quality characteristics of software products and processes can be quantified, plotted, and analyzed so that 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 illustrative case studies taken from industry. This book's primary goal is to outline the steps an organization can take to attain broad-reaching, long-term success in software development.
Table of contents

: Figures; Foreword; Preface; Acknowledgments
Chapter 1 Managing and Measuring Process Behavior: 1.1 What Is a Software Process'; 1.2 What Is Software Process Management?; 1.3 The Role of Software Process Management; 1.4 Issues on the Road to Process Improvement; 1.5 The Need for Software Process Measurement; 1.6 Measuring Process Behavior; 1.7 A Framework for Process Behavior Measurement; 1.8 Summary
Chapter 2 Planning for Measurement: 2.1 Identifying Process Issues; 2.2 Selecting and Defining Measures; 2.3 Integrating Measures with the Software Process; 2.4 Summary
Chapter 3 Collecting the Data: 3.1 Principal Tasks; 3.2 The Specifics of Collecting Software Process Data; 3.3 Reviewing and Assessing Collected Data; 3.4 Retaining Data; 3.5 Tools for Understanding Your Data; 3.6 Summary
Chapter 4 Analyzing Process Behavior: 4.1 Separating Signals from Noise; 4.2 Evaluating Process Stability; 4.3 Control Chart Basics; 4.4 Summary
Chapter 5 Process Behavior Charts for Software Processes: 5.1 Control Charts for Variables or Discrete Data; 5.2 Control Charts for Attributes Data; 5.3 Summary
Chapter 6 More About Process Behavior Charts: 6.1 How Much Data Is Enough?; 6.2 Anomalous Process Behavior Patterns; 6.3 Rational Sampling and Homogeneity of Subgroups; 6.4 Rational Subgrouping; 6.5 The Problem of Insufficient Granularity in Recorded Values; 6.6 Aggregation and Decomposition of Process Performance Data; 6.7 Summary
Chapter 7 Three Paths to Process Improvement: 7.1 Finding and Correcting Assignable Causes; 7.2 Process Capability; 7.3 Process Capability Analysis; 7.4 Improving the Process; 7.5 Improvement and Investment; 7.6 Summary
Chapter 8 Getting Started: 8.1 Ten Steps for Getting Started; 8.2 Frequently Asked Questions Regarding SPC; 8.3 Final Remarks
Appendix A Control Chart Tables and Formulas
Appendix B More About Analyzing Process Behavior: B.1 Enumerative Versus Analytic Studies; B.2 Three-Sigma Control Limits; B.3 Central Limit Theorem and Role of the Normal Distribution
Appendix C Example Data and Calculations: C.1; C.2
References
Index

Caractéristiques techniques

	PAPIER
Éditeur(s)	Addison Wesley
Auteur(s)	William Florac, Anita D. Carleton
Parution	15/07/1999
Nb. de pages	250
Format	16,5 x 24,2
Poids	650g
EAN13	9780201604443
ISBN13	978-0-201-60444-3