Software measurement and estimation : a practical approach /
Linda M. Laird, M. Carol Brennan.
- Hoboken, N.J. : John Wiley & Sons, c2006.
- xvi, 257 p. : ill. ; 24 cm.
2 What to Measure 2.1 Method1:The Goal Question Metrics Approach/9 2.2 Method 2:Decision Maker Model/ 10 2.3 Method 3: Standards Driven Metrics/10 2.4 Extension to GQM: Metrics Mechanism 2.5 What measure is a Function of time/12 Etc
3.Measurement Fundamentals 3.1 Intial measurement Exercise/15 3.2 The challenge of Measurement /16 3.3 Measurement Models /16 3.4 Meta-Model for Metrics /20 3.5 The power Measurement/21 Etc
6.Estimating Effort 6.1Effort Estimation : Where Are We? /80 6.2Software Estimation Methodologies and Models /81 6.3Combining Estimates/107 6.4Estimating Issues/108 6.5Estimating Early and Often/112 etc
7.In Praise of Defects: Defects and Defect Metrics 7.1Why study and measure defects? /118 7.2Faults Versus Failures/119 7.3Defect Dynamics and Behaviours/120 7.4Defect projection Techniques and Models/123 7.5Additional Defect Benchmark Data/133 Etc
8. Software Reliability Measurement and Prediction 8.1Why Study and measure software Reliability?/144 8.2What is Reliability?/144 8.3Faults and failures/145 8.4failure severity classes/145 8.5Failure Intensity/146 Etc
9.Response Time and Availability 9.1Response time measurements/168 9.2avialability/170 9.3Summary/177
10.Measuring progress 10.1 Project milestones/182 10.2 Code integration/185 10.3 Testing progress/187 10.4 defects Discovery and closure /188 10.5 process Effectiveness/192
11.Outsourcing 11.1 The 'o' word/197 11.2 Defining outsourcing/198 11.3 Risk management and outsourcing/201 11.4 Metrics and the contract/203 11.5 Summary/206
12.Financial measures for the software engineer 12.1 Its all about the green/208 12.2 financial concepts/209 12.3 building the business case/209 12.4 living the Business case/224 12.5 summary/224
13.Benchmarking 13.1 what is Benchmarking?/231 13.2 Why benchmark?/232 13.3 what to Benchmark/232 13.4 Identifying and Obtaining a Benchmark/233 13.5 collecting actual Data/233
14.Presenting Metrics Effectively to management 14.1 Decide on the Metrics/239 14.2 Draw the Picture/240 14.3 Create a Dashboard/243 14.4 Drilling for Information/243 14.5 Example for the Big Cheese/247