A false positive in software testing is when a test incorrectly indicates the presence of a defect or issue in the software when there actually is none. This means the test result shows a problem that doesn't exist, leading to unnecessary investigation and troubleshooting. Example: Imagine you have a test that checks if a login feature works correctly. The test is supposed to verify that users can log in with valid credentials. If the test fails and reports that the login feature is broken, but in reality, the login feature works perfectly fine, this is a false positive. Causes: Test Script Errors: The test script itself might have an error, causing it to fail even when the application works correctly. Environment Issues: Issues in the test environment, such as incorrect configurations or network problems, might lead to false positives. Timing Issues: Tests might run too quickly before the system has fully updated or responded, leading to incorrect failure reports. Impact: Wast...
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