Profile-driven Source Code Exploration
Emília Pietriková, Sergej Chodarev
Citation: Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 929–934 (2015)
Abstract. The following study deals with static analysis of Java source codes and it is dedicated to those readers who are interested in techniques aiming at evaluation of programming abilities of job candidates or students. In our case, the goal of the static analysis is to assemble the most significant and interesting data about source code author (programmer). If properly visualized, such assembled data may form programmer's profile which, to impartial observer, may further determine author's real programming abilities and his/her habits, both good and the bad ones. The present study represents first experiments attempting to form programmer's profile by static analysis of language element frequency. Conclusion offers a broader view, combining also other techniques as a future plan to generate knowledge profiles more precisely.