A Novel Automated Random Based Test Case Generation Approach

Testing activities takes 50% of overall cost of software development process. In order to perform software testing, a set of test cases should be generated. Generating this set is so time consuming and have a direct impact on the cost of software testing. Without automation, this process is slow, expensive and error prone. In this paper, a new approach in order to generate test cases based on random testing by combining static and dynamic information is proposed. The proposed approach generates test cases by utilizing the simple nature of random testing and also using the information which can be gained by the source code that leads to improve in the performance of random testing. The experimental results indicate an increase in the test case generation speed and also quality of test suite.