1. Auflage - Juli 2006
87,90 Euro
2006. 280 Seiten, Hardcover
ISBN-10: 0-471-67622-5
ISBN-13: 978-0-471-67622-5 - John Wiley & Sons

Preis inkl. Mehrwertsteuer zzgl. Versandkosten.





Probekapitel

Kurzbeschreibung
Practical Estimation in Software Engineering is a practical guide to metrics and quantitative software estimation. The book begins with the foundations of measurement and metrics, and then focuses on techniques and tools for estimation of the required effort and the resulting quality of a software project. The factors that impact the estimations are also examined, so that readers can continually improve their estimations, based upon adjusting the characteristics of a project, to complete a project on-time, on budget, and with the required quality. The book includes numerous examples to illustrate how to use the tools and methodologies to solve real problems.

Aus dem Inhalt
Acknowledgments.

1. Introduction.

1.1 Objective.

1.2 Approach.

1.3 Motivation.

1.4 Summary.

References.

Chapter 1 Side Bar.

2. What to Measure.

2.1 Method 1: The Goal Question Metrics Approach.

2.2 Extension to GQM: Metrics Mechanism is Important.

2.3 Method 2: Decision Maker Model.

2.4 Method 3: Standards Driven Metrics.

2.5 What to Measure is a Function of Time.

2.6 Summary.

References.

Exercises.

Project.

3. Fundamentals of Measurement.

3.1 Initial Measurement Exercise.

3.2 The Challenge of Measurement.

3.3 Measurement Models.

3.4 Meta-Model for Metrics.

3.5 The Power of Measurement.

3.6 Measurement Theory.

3.7 Accuracy versus Precision and the Limits of Software Measurement.

References.

4. Measuring the Size of Software.

4.1 Physical Measurements of Software.

4.2 Measuring Functionality.

4.3 Feature Points.

4.4 Size Summary.

4.5 Size Exercises.

4.6 Theater Tickets Project.

References.

5. Measuring Complexity.

5.1 Structural Complexity.

5.2 Conceptual Complexity.

5.3 Computational Complexity.

5.4 Complexity Metrics Summary.

5.5 Complexity Exercises.

5.6 Projects.

References.

6. Estimating Effort.

6.1 Effort Estimation - Where are we?.

6.2 Software Estimation Methodologies and Models.

6.3 Combining Estimates.

6.4 Estimating Issues.

6.5 Estimating Early and Often.

6.6 Estimation Summary.

6.7 Estimation Problems.

6.8 Estimation Project - Theater Tickets.

References.

7. In Praise of Defects: Defects and Defect Metrics.

7.1 Why study and measure defects?.

7.2 Faults vs. failures.

7.3 Defect Dynamics and Behaviors.

7.4 Defect Projection Techniques and Models.

7.5 Additional Defect Benchmark Data.

7.6 Cost Effectiveness of Defect Removal by Phase.

7.7 Defining and Using Simple Defect Metrics: An example.

7.8 Some Paradoxical Patterns for Customer Reported Defects.

7.9 Defect Summary.

7.10 Problems.

7.11 Projects.

7.12 Answers to the initial questions.

References.

8. Software Reliability Measurement and Prediction.

8.1 Why study and measure software reliability?.

8.2 What is reliability?.

8.3 Faults and failures.

8.4 Failure Severity Classes.

8.5 Failure Intensity.

8.6 The Cost of Reliability.

8.7 Software Reliability Theory.

8.8 Reliability Models.

8.9 Failure Arrival Rates.

8.10 But when do I ship?.

8.11 System Configurations: Probability and Reliability.

8.12 Answers to Initial Question.

8.13 Reliability Summary.

8.14 Reliability Exercises.

8.15 Reliability Project.

References.

9. Response Time and Availability.

9.1 Response Time Measurements.

9.2 Availability.

9.3 Summary.

9.4 Problems.

9.5 Project.

References.

10. Measuring Progress.

10.1 Project Milestones.

10.2 Code Integration.

10.3 Testing Progress.

10.4 Defects Discovery and Closure.

10.5 Process Effectiveness.

10.6 Summary.

References.

Problems.

11. Outsourcing.

11.1 The "O" Word.

11.2 Defining Outsourcing.

11.3 Risks Management and Outsourcing.

11.4 Metrics and the Contract.

11.5 Summary.

References.

Exercises.

Problems.

Chapter 11 Sidebar.

12. Financial Measures for the Software Engineer.

12.1 It's All About the Green.

12.2 Financial Concepts.

12.3 Building the Business Case.

12.4 Living the Business Case.

12.5 Summary.

References.

Problems.

Projects.

13. Benchmarking.

13.1 What is Benchmarking.

13.2 Why Benchmark.

13.3 What to Benchmark.

13.4 Identifying and Obtaining a Benchmark.

13.5 Collecting Actual Data.

13.6 Taking Action.

13.7 Current Benchmarks.

13.8 Summary.

References.

Problems.

Projects.

14. Presenting Metrics Effectively to Management.

14.1 Decide on the Metrics.

14.2 Draw the Picture.

14.3 Create a Dashboard.

14.4 Drilling for Information.

14.5 Example for the Big Cheese.

14.6 Evolving Metrics.

14.7 Summary.

References.

Problems.

Project.

Index.