A Testing Method for Object-oriented Program based on Adaptive Random Testing with Variable Probability

Object-oriented program (OOP) is very popular in these years for its advantages, but the testing method for OOP is still not mature enough. To deal with the problem that it is impossible to generate the probability density function by simply numeralizing a point in the test case caused by the complex structure of the object-oriented test case, we propose the Adaptive Random Testing through Test Profile for Object-Oriented software (ART TP -OO). It generates a test case at the edge of the input field and calculates the distance between object-oriented test cases using Object and Method Invocation Sequence Similarity (OMISS) metric formula. And the probability density function is generated by the distance to select the test cases, thereby realizing the application of ART TP algorithm in OOP. The experimental results indicate the proposed ART TP -OO consumes less time cost without reducing the detection effectiveness.