Random Testing in Software Testing

• It is a type of functional testing and it is beneficial when the time needed to write & run directed tests is too long.
• It is also known as Monkey Testing.
• There is no specific approach to perform the Monkey Testing because it is an ad-hoc way of software testing
• In Random Testing a tester or a developer can test the system to confirm whether it performs the desired set of actions.

Reason to use Random Testing:

• • Easily estimating software reliability from test outcomes.
  • Test inputs are randomly generated according to an operational profile, and failure times can be recorded
  • Use of random test inputs may save some of the time and effort.

Characteristics of random testing:

• • It is performed where bugs in a software
  • Application is not identified by the regular intervals.
  • Random input is used to test the system performance and its reliability.
  • Saves time and effort than actual tests.

Benefits/Advantages :

• • Automatic generation of random input data can be used, allowing many more test cases to be executed
  • Can generate good results by using the correct algorithm.

Some drawbacks of Monkey Testing:

• • They are not realistic
  • Many of the tests are redundant 
  • You will spend more time analysing results
  • There is no measure of risk

Recommended Articles:

• • • • Exploratory Testing
      • Error Guessing
      • Functional Testing
      • Integration Testing
      • Unit Testing