no code implementations • Empirical Software Engineering 2022 • Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia
We conduct a three-step study in which we (1) verify the relation between static analysis warnings and code smells and the potential predictive power of these warnings; (2) build code smell prediction models exploiting and combining the most relevant features coming from the first analysis; (3) compare and combine the performance of the best code smell prediction model with the one achieved by a state of the art approach.
