ISSUE#1.3- SANTIAGO - ISSUE TESTING

[ba-00001]

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Algorithm Testing Template: [Algorithm Name]

1. Purpose of Testing

• Objective: Define the goal of testing this algorithm (e.g., to ensure accuracy, efficiency, or robustness).

2. Test Environment Setup

• Tools and Libraries: List the tools and testing libraries/frameworks used (e.g., JUnit for Java, PyTest for Python).
• Configuration: Describe the necessary configuration of the testing environment (e.g., database setup, in-memory computations).

3. Test Cases

a. Typical Cases

• Case 1: Describe a normal scenario where the input is expected, and the algorithm should perform optimally.
• Expected Result: What the algorithm should return or achieve in this case.

b. Boundary Cases

• Boundary Case 1: Inputs at the limits of what the algorithm should handle (e.g., the smallest or largest possible input).
• Expected Result: Desired outcome for handling boundary conditions.

c. Edge Cases

• Edge Case 1: Unusual or extreme conditions outside of normal operating parameters (e.g., null inputs, empty sets, extremely large values).
• Expected Result: How the algorithm should behave (e.g., error handling, default outputs).

4. Performance Testing

• Test Case: Describe the scenario for testing algorithm efficiency under load (e.g., processing time for large datasets).
• Metrics to Measure: List performance metrics such as execution time, memory usage.

5. Stress Testing

• Test Case: Inputs designed to stress the system (e.g., running the algorithm continuously for a long period).
• Expected Stability: Indicators of how the algorithm maintains stability and accuracy under stress.

6. Security Testing (if applicable)

• Test Case: Potential security vulnerabilities the algorithm might expose (e.g., susceptibility to injection attacks).
• Expected Safeguards: How the algorithm should secure data and operations.

7. Usability Testing (for user-facing algorithms)

• Test Case: How the algorithm handles user input and provides output.
• User Satisfaction: Criteria for how the output should be understandable and useful to the user.

8. Documentation of Results

• Method: How results will be recorded and reported.
• Review Process: Steps for reviewing test outcomes and deciding on fixes or improvements.

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Additional information

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