Applied Statistics for Software Managers 论文

摘要

Preface. 1. Data Analysis Methodology. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. 2. Case Study: Software Development Productivity. Creation of New Variables. Data Modifications. Identifying Subsets of Categorical Variables. Model Selection. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. 3. Case Study: Time to Market. Model Selection. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. 4. Case Study: Developing a Software Development Cost Model. Choice of Data. Model Selection. Graphs. Tables. Correlation Analysis. Stepwise Regression Analysis. Numerical Variable Checks. Categorical Variable Checks. Testing the Residuals. Detecting Influential Observations. Common Accuracy Statistics. Boxplots of Estimation Error. Wilcoxon Signed-Rank Test. Accuracy Segmentation. The 95% Confidence Interval. Identifying Subsets of Categorical Variables. Model Selection. Building the Multi-Variable Model. Checking the Models. Measuring Estimation Accuracy. Comparison of 1991 and 1993 Models. Management Implications. 5. Case Study: Software Maintenance Cost Drivers. It's the Results That Matter. Cost Drivers of Annual Corrective Maintenance (by Katrina D. Maxwell and Pekka Forselius). From Data to Knowledge. Variable and Model Selection. Preliminary Analyses. Building the Multi-Variable Model. Checking the Model. Extracting the Equation. Interpreting the Equation. Accuracy of Model Prediction. The Telon Analysis. Further Analyses. Final Comments. 6. What You Need to Know About Statistics. Describing Individual Variables. The Normal Distribution. Overview of Sampling Theory. Other Probability Distributions. Identifying Relationships in the Data. Comparing Two Estimation Models. Final Comments. Appendix A. Raw Software Development Project Data. Appendix B. Validated Software Development Project Data. Appendix C. Validated Software Maintenance Project Data. Index.