Course Content
Introduction
Statistics & Metrics for Measuring & Decision Making
- Need for Statistics in any organization
- Measurement & Control for Management
- Evaluation of the decision making process that determines the need for Statistics
- Identifying the important data required
- Carrying out a feasibility study for various Statistics to be generated
- Groundwork required to collect the data
- Appropriate to be implemented
- Educating the people involved
- Important steps in data collation
- Automation of data collection & collation
- Generating Statistics and reports
- Critical analysis of reports
Statistics Vs Metrics
- Difference between Statistics and Metrics
- Daily tracking
- Management tracking
People involved - who should do what?
- Who determines what data to be collected?
- The person responsible to evaluate the requirements
- Implementing the requirements to provide the ground work to collect data
- People responsible to enter the appropriate data at all times
- Generation & distribution of reports
- Evaluation of the reports\statistics
- Change requests, maintenance and decisions on reporting methodology
Common Useful Metrics under Agile methodology
- Product Metrics
- Unit level Defect Leakage to QA
- Defect Leakage to UAT\Production
- Weighted Defect Leakage to UAT\Production
- Defect Validity
- Regression Defect Ratio
- Defect Removal Rate
- Test cases Blocked
- Project Metrics
- Schedule Variance
- Effort Variance
- Test Execution Variance
- Defect Detection Rate
- Cycle Times
- Volatility of Iteration Planning
- Automation of Regression Test
- Cost of Finding Defects
- Process Metrics
- Rate of Review Comments
- Defect Reopen Rate
- Build Rejections
