ABSTRACT
In software engineering, software testing plays a vital role in improvement of software. In software testing, Test data generation is a standout amongst the most significant and crucial phases. Software testing is not possible without adequate test data. Software testing can be performed by using different test cases like, unit testing, integration testing, or system level testing. The first phase of testing is single module and we called as a Unit Testing, But by combining many unit testing module one other test type we can use i.e. Integration Testing. Integration testing tests the connections of different mechanism, when they are integrated together in precise application, for the smooth functionality of software arrangement. Many automated and manual test data generation techniques have been proposed for software testing. Coupling based testing is an integration testing which is based upon coupling relationships that exist among different variables within many other call sites are present. Up until now, test data generation approaches deal only with unit level testing. There is no work for software test information generation for coupling based testing. So, in this Paper, we proposed a novel methodology for automated test data generation based testing type classification and different algorithms that mostly used.
