Interpolated n-grams for model based testing
Paolo Tonella, Roberto Tiella, Cu Duy Nguyen · 2014
Models - in particular finite state machine models - provide an invaluable source of information for the derivation of effective test cases. However, models usually approximate part of the program semantics and capture only some of the relevant dependencies and constraints. As a consequence, some of the test cases that are derived from models are infeasible.