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What metrics were used in your testing experience?
sobes.tech AI
Answer from AI
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- Total number of defects found.
- Defect density (number of defects per unit size of the product, e.g., per 1000 lines of code or per functional area).
- Defect discovery rate (number of defects found per unit time).
- Defect fixing rate (number of defects fixed per unit time).
- Distribution of defects by severity (Critical, Major, Minor, Trivial).
- Distribution of defects by type (functional, UI, performance, etc.).
- Percentage of re-opened defects (Reopened).
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- Requirements coverage (percentage of requirements covered by test cases).
- Code coverage (line, branch, condition coverage if code coverage analysis tools are used).
- Test scenario coverage (percentage of developed or executed test cases).
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Test execution efficiency:
- Number of executed and failed test cases.
- Percentage of successful test case execution.
- Test suite execution time (for automation).
- Testing performance (number of test cases executed per unit time).
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Performance and load metrics (if relevant testing was conducted):
- System response time.
- Throughput (number of transactions per second).
- Resource utilization (CPU, memory, disk).
- Number of concurrent users.
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- Percentage of automated test cases.
- Number of automated regression tests.
- Stability of automated tests (frequency of false negatives).
- Time for developing and maintaining automated tests.
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Customer satisfaction metrics (indirectly, through feedback, number of incidents in operation).
These metrics help evaluate testing progress, product quality, testing activity effectiveness, and make release stage decisions.