Automated test tools are powerful aids to improving the return on the testing investment when used wisely. Some tests inherently require an automated approach to be effective, but others must be manual. In addition, automated testing projects that fail are expensive and politically dangerous. How can we recognize whether to automate a test or run it manually, and how much money should we spend on a test?
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