Sociology Index

Randomized Testing

Double Blind Procedure, Experimental Group, Control Group

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
Chen, T.Y. - Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Hawthorn, VIC.
Summary form only given. Randomized testing is a basic testing technique. Motivated by the observation that neighboring inputs normally exhibit similar failure behavior, the approach of adaptive random testing has recently been proposed to enhance the fault detection capability of random testing. The intuition of adaptive randomized testing is to evenly spread the randomly generated test cases. Randomized testing is a basic and popular technique in software testing. In view of such a significant improvement of adaptive randomized testing over randomized testing, it is very natural to consider to replace randomized testing by adaptive randomized testing. There are different approaches of evenly spreading randomized testing. Most existing research on adaptive randomized testing involves only numeric programs. The recent success of applying adaptive randomized testing for non-numeric programs would be discussed.