Test Transplantation through Dynamic Test Slicing
Mehrdad Abdi, Serge Demeyer · 2022
Previous research has demonstrated that the test coverage of libraries can be expanded by using existing test inputs from their dependent projects. In this paper, we propose an algorithm for test transplantation based on test slicing. The algorithm extracts test inputs, isolates them by creating mocks, and then transplants the test code onto the test suite of the libraries. To achieve test slicing, we dynamically execute the tests in the dependent project and create its graph of histories. Then, we traverse back from the interesting object state and collect the corresponding edges. Finally, we reverse the collected edges and create a sequence of method calls to reconstruct the same object state. We have implemented a proof-of-concept in Pharo-Smalltalk, in this paper we discuss the lessons learned so far.