Interactive Model Mining from Embedded Legacy Software

Model mining from software systems can be very helpful for program comprehension. The few existing approaches for extracting high level models from code – when applied to real-world systems written in C – deliver too detailed and complex models that cannot be understood by humans. In my Ph.D. project, I propose an approach that complements fully-automatic model mining approaches with user interaction to get understandable models. The evaluation of this approach includes a controlled experiment with a large number of experts, in order to assess the effectiveness of the interactively mined models for understanding complex legacy software.