The aim is to illustrate the coupling effect in testing, showing how simple tests can identify complex errors.
Discusses the concept of test data selection and its implications for programming.
Explores the coupling effect and its impact on uncovering errors during testing.
Simple tests are effective in revealing more complex errors.
Utilizing the coupling effect can lead to time-saving in the testing process.
Abstract
In many cases tests of a program that uncover simple errors are also effective in uncovering much more complex errors. This so-called coupling effect can be used to save work during the testing process.