Anyone who has ever attempted to estimate software testing effort realizes just how difficult the task can be. The number of factors that can affect the estimate is virtually unlimited. The key to good estimates is to understand the primary variables, compare them to known standards, and normalize the estimates based on their differences. This is easy to say but difficult to accomplish because estimates are frequently required even when very little is known about the project—and what is known is constantly changing.
