Ranking and optimizing automated test scripts

摘要

Technologies are described herein for ranking and optimizing test scripts utilized in the automated testing of software products. A score is calculated for each test script from various metrics collected from executions of the test script. Metrics utilized in calculating the score for a test script may include those indicating the propensity of the script to result in “false failures” and/or those indicating the effectiveness of the script for finding product bugs. The test scripts are then ranked by their score, and this ranking is used in determining the frequency of execution of the test script in future testing.