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