Berend G.  2020.  Efficient algorithm to compute Markov transitional probabilities for a desired PageRank. EPJ Data Science. 9:23.

Antal G, Keleti M, Hegedűs P.  2020.  Exploring the Security Awareness of the Python and JavaScript Open Source Communities. Proceedings of the 17th International Conference on Mining Software Repositories (MSR). :16–20.

Csuvik V, Kicsi A, Vidács L.  2019.  Evaluation of Textual Similarity Techniques in Code Level Traceability. Proceedings of the 19th International Conference on Computational Science and Its Applications (ICCSA 2019). :529-543.

Kicsi A, Rákóczi M, Vidács L.  2019.  Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :339-346.

Váradi T, Simon E, Sass B, Mittelholcz I, Novák A, Indig B, Farkas R, Vincze V.  2018.  E-magyar -- A Digital Language Processing System. Proceedings of the Eleventh International Conference on Language Resources and Evaluation. :1307-1312..

Hegedüs P, Kádár I, Ferenc R, Gyimóthy T.  2018.  Empirical evaluation of software maintainability based on a manually validated refactoring dataset. Information and Software Technology. 95:313-327.

Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).

Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).

Gábor S, Gábor A, Nagy C, Ferenc R, Gyimóthy T.  2017.  Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability. Journal of Systems and Software. 129:107–126.

Gyimóthy T, Beszédes Á, Forgács I.  1999.  An Efficient Relevant Slicing Method for Debugging. Software Engineering –- ESEC/FSE '99. :303–321.

Morris R.J, Kent J.T., Mardia K.V, Aykroyd R.G., Fidrich M., Linney A..  1999.  Exploratory Analysis of Facial Growth. Spatial Temporal Modelling and its Applications

Forgács I., Gyimóthy T.  1996.  An Efficient Interprocedural Slicing Method for Large Programs. 9th International Conference on Software Engineering and Knowledge Engineering. :279-287.

Paakki J., Gyimóthy T, Horváth T..  1994.  Effective Algorithmic Debugging for Inductive Logic Programming. GMD-Studien. 237:175-194.

Bunke H, Csirik J.  1992.  Edit distance of run-length coded strings. SAC. :137–143.

Csirik J, Kellerer H, Woeginger GJ.  1992.  The exact LPT-bound for maximizing the minimum completion time. Oper. Res. Lett.. 11:281–287.