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What is reliability testing?
sobes.tech AI
Answer from AI
Reliability Testing is a type of non-functional testing aimed at verifying the ability of a software product to operate stably under certain conditions for a specified period.
Main objectives of reliability testing:
- Assessing the probability of faultless operation of the application.
- Detecting failures and performance degradation over time.
- Determining the Mean Time Between Failures (MTBF).
- Determining the Mean Time To Repair (MTTR) after a system failure.
Reliability metrics:
- MTBF (Mean Time Between Failures) — the average time between consecutive failures. A higher value indicates higher reliability.
- MTTR (Mean Time To Repair) — the average time required to restore the system after a failure. A lower value indicates higher maintainability and, consequently, availability.
- Rate of Occurrence of Failures (ROCOF) — the number of failures per unit time. A lower value indicates higher reliability.
- Availability — the proportion of time, T, during which the system is available and operational, relative to the total time. Calculated as MTBF / (MTBF + MTTR).
Types of reliability testing:
- Feature-Based Reliability Testing: Performed under various loads to ensure functions operate correctly over a specified period.
- Regression Reliability Testing: Checks whether reliability has deteriorated after code changes.
- Load Reliability Testing: Tests system reliability under expected peak loads.
Examples of test scenarios:
- Running the application with the maximum number of concurrent users for 8 hours.
- Executing a specific function thousands of times in a row without failures.
- Operating the system under simulated failures of related systems and checking its behavior.
Reliability testing tools may include load testing tools (e.g., JMeter, LoadRunner), as well as tools for performance monitoring and metric collection.