Regression test size reduction using improved precision slices

We propose a technique to select regression test cases that is targeted to reduce the size of test suite by using improved precision slices. For this, we first construct the control flow graph model of an object-oriented program. Subsequently, we identify the infeasible paths and compute the definition-use (def-use) pairs only along the feasible paths. Next, we construct the dependency model using this information. This helps us to ignore the dependencies existing along infeasible paths leading to construction of precise slices. Then, we build the dependency model and construct forward slices on the dependency model to determine the affected nodes and the test cases that cover the affected nodes in the dependency graph model are selected for regression testing. The results obtained from our experimental studies indicate that our approach reduces the regression test suite size on an average by 11.25 % as compared to a related approach, without degrading the fault-revealing effectiveness.