Randomized testing means without any definite method. Google also uses randomized testing to validate their Paxos implementation. Randomized testing in software will help avoid the problem of only testing what you know will work. In some circumstances, randomized testing methods are more practical than any alternative, because information is lacking to make reasonable systematic test-point choices.
When doing randomized testing you must ensure that your tests are sufficiently random, and that they cover the specification. Randomized Testing of Alternative Survey Formats Using Anonymous Volunteers on the World Wide Web. You can do randomized testing on your hunches.
Through randomized testing of your hunches, you build the confidence you need to spend the needed resources on your campaign. Randomized testing allows you to focus on key aspects of your marketing message. You can create two or more variations of your message based on various hunches, and test which hunch delivers the best result.
Adaptive Random Testing
These results have very significant impact in software testing, because random testing is a basic and popular technique in software testing. In view of such a significant improvement of adaptive random testing over random testing, it is very natural to consider to replace randomized testing by adaptive random testing. Hence, many works involving random testing may be worthwhile to be reinvestigated using adaptive random testing instead. Obviously, there are different approaches of evenly spreading random test cases. In this tutorial, we are going to present several approaches, and discuss their advantages and disadvantages. Furthermore, the favorable and unfavorable conditions for adaptive random testing would also be discussed. Most existing research on adaptive random testing involves only numeric programs. The recent success of applying adaptive randomized testing for non-numeric programs would be discussed.