Characterization of Source Code Defects by Data Mining Conducted on GitHub. - Péter Gyimesi; Gábor Gyimesi; Zoltán Tóth; Rudolf Ferenc (ICCSA (5), 2015)

A Public Bug Database of GitHub Projects and Its Application in Bug Prediction. - Zoltán Tóth; Péter Gyimesi; Rudolf Ferenc (ICCSA (4), 2016)

Automatic Calculation of Process Metrics and their Bug Prediction Capabilities. - Péter Gyimesi (Acta Cybern., 2017)

Challenging machine learning algorithms in predicting vulnerable JavaScript functions. - Rudolf Ferenc; Péter Hegedüs; Péter Gyimesi; Gábor Antal; Dénes Bán; Tibor Gyimóthy (RAISE@ICSE, 2019)

BugsJS: a Benchmark of JavaScript Bugs. - Péter Gyimesi; Béla Vancsics; Andrea Stocco 001; Davood Mazinanian; Árpád Beszédes; Rudolf Ferenc; Ali Mesbah 001 (ICST, 2019)

Poster: Supporting JavaScript Experimentation with BugsJS. - Béla Vancsics; Péter Gyimesi; Andrea Stocco 001; Davood Mazinanian; Árpád Beszédes; Rudolf Ferenc; Ali Mesbah 001 (ICST, 2019)

An automatically created novel bug dataset and its validation in bug prediction. - Rudolf Ferenc; Péter Gyimesi; Gábor Gyimesi; Zoltán Tóth; Tibor Gyimóthy (J. Syst. Softw., 2020)

BUGSJS: a benchmark and taxonomy of JavaScript bugs. - Péter Gyimesi; Béla Vancsics; Andrea Stocco 001; Davood Mazinanian; Árpád Beszédes; Rudolf Ferenc; Ali Mesbah 001 (Softw. Test. Verification Reliab., 2021)

Efficient Algorithm for Region-Disjoint Survivable Routing in Backbone Networks. - Erika R. Bérczi-Kovács; Péter Gyimesi; Balázs Vass; János Tapolcai (INFOCOM, 2024)

Efficient Computing of Disaster-Disjoint Paths: Greedy and Beyond. - Balázs Vass; Erika R. Bérczi-Kovács; Péter Gyimesi; János Tapolcai (INFOCOM (Workshops), 2024)

DateLine: Efficient Algorithm for Computing Region Disjoint Paths in Backbone Networks. - Erika R. Bérczi-Kovács; Péter Gyimesi; Balázs Vass; János Tapolcai (IEEE J. Sel. Areas Commun., 2025)