AD-ROOM: a tool for automatic detection of refactorings in object-oriented models
Résumé
Detecting refactorings in Object-Oriented Models (OOM) is essential to automate the repair, maintenance, and migration of OOM-related products. However, detecting refactorings is challenging since multiple sequences of atomic changes may define a single user intention and refactorings may overlap over the atomic change trace. In this paper, we present AD-ROOM, an Eclipse-based tool to automatically detect refactorings during evolution of OOM. In contrast to existing tools, AD-ROOM is designed to reach 100% recall that is confirmed in our eight case studies. We allow user confirmation and we support the user with three heuristics that help to improve the precision of AD-ROOM.