| Tool Type | Metrics Provided | Purpose/Benefit |
|---|---|---|
| Test Management Tools | Test status (passed, failed, blocked, skipped), execution data, planned vs. actual tests | Monitor progress, plan adjustments, test effort tracking |
| Requirements Management | Requirements coverage, passed/failed tests linked to requirements | Ensure traceability and requirement validation |
| Defect Management Tools | Defect status, severity, priority, defect density, defect lead time | Defect trend analysis, quality control, process improvement |
| Static Analysis Tools | Code complexity, maintainability index | Early defect detection, code quality improvement |
| Performance Testing Tools | Response times, failure rates, resource usage under peak loads | Performance tuning, capacity planning |
| Code Coverage Tools | Coverage percentage (statement, branch, path) | Identifies untested areas, test effectiveness |
| General Tool Monitoring | Tool usage metrics, defects found using tools vs. without, test efficiency (execution time, test count) | Process improvement, ROI measurement |
🧠 Mind Map for Quick Revision
Tool Metrics
|
|-- Test Management Tools
| |-- Execution status (Pass/Fail/Skipped/Blocked)
| |-- Planned vs. Executed
|
|-- Requirements Management
| |-- Traceability
| |-- Coverage by Test Results
|
|-- Defect Management Tools
| |-- Status / Severity / Priority
| |-- Defect Density / Lead Time
|
|-- Static Analysis Tools
| |-- Code Complexity
|
|-- Performance Testing Tools
| |-- Response Time
| |-- Failure Rate
|
|-- Code Coverage Tools
| |-- Coverage %
|
|-- Tool Monitoring
|-- Tool effectiveness
|-- Test efficiency🎯 Scenario-Based MCQs (K2-K4)
Q1. You are managing a release where test execution progress needs to be tracked. Which tool metric would help you best?
A) Requirements coverage
B) Test execution status
C) Code complexity
D) Defect density
✅ Answer: B) Test execution status
Q2. A defect trend report shows that a large number of defects are detected late. What metric should you improve?
A) Defect status
B) Defect lead time
C) Code coverage
D) Response time
✅ Answer: B) Defect lead time
Q3. Your team wants to validate that all critical business requirements have associated test cases. Which tool and metric are most appropriate?
A) Code coverage tool and execution rate
B) Static analysis tool and code complexity
C) Requirements management tool and traceability
D) Defect management tool and severity
✅ Answer: C) Requirements management tool and traceability
Q4. A manager wants to assess whether automation tools are improving defect detection. What should be compared?
A) Test coverage vs. test execution time
B) Number of defects found with and without tools
C) Code complexity vs. defect severity
D) Requirement traceability matrix
✅ Answer: B) Number of defects found with and without tools
Q1. Which metric would be most relevant when analyzing peak system performance?
A) Code coverage percentage
B) Defect density
C) Response time
D) Traceability matrix
✅ Answer: C) Response time
Q2. What type of metric would help in identifying areas of the code base that are complex and potentially risky?
A) Code coverage
B) Code complexity
C) Test case efficiency
D) Requirement traceability
✅ Answer: B) Code complexity
Q3. A test manager needs to ensure that all requirements are tested. Which tool should be used?
A) Static analysis tool
B) Defect management tool
C) Requirements management tool
D) Performance testing tool
✅ Answer: C) Requirements management tool
Q4. What does a high defect density in a particular module indicate?
A) More features have been implemented
B) Fewer tests were executed
C) The module has higher quality
D) The module has poor quality and needs attention
✅ Answer: D) The module has poor quality and needs attention
Q5. Which tool provides data on test execution time and number of executed tests?
A) Defect management
B) Static analysis
C) Test management
D) Code coverage
✅ Answer: C) Test management
Q6. If a test manager needs to review how many defects were found with automation versus manual testing, what concept is being analyzed?
A) Code quality
B) Test tool efficiency
C) Test coverage
D) Performance
✅ Answer: B) Test tool efficiency
Q7. What data would you look for in a defect management tool to prioritize issue resolution?
A) Defect traceability
B) Execution status
C) Defect severity and priority
D) Code coverage percentage
✅ Answer: C) Defect severity and priority
Q8. Which tool can help a test manager identify untested parts of the application?
A) Defect management tool
B) Code coverage tool
C) Static analysis tool
D) Performance testing tool
✅ Answer: B) Code coverage tool
Q9. Which metric supports decisions regarding optimization of the testing process?
A) Test execution time
B) Requirement priority
C) Test data preparation time
D) Tool usage metrics
✅ Answer: A) Test execution time
Q10. Why is it important for tools to monitor their own usage?
A) To reduce licensing cost
B) To measure the quality of the test process
C) To collect developer feedback
D) To automate release planning
✅ Answer: B) To measure the quality of the test process
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