Péter Gyimesi

According to our database, Péter Gyimesi authored at least 10 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Computing of Disaster-Disjoint Paths: Greedy and Beyond.

Balázs Vass, Erika R. Bérczi-Kovács, Péter Gyimesi, János Tapolcai

Proceedings of the IEEE INFOCOM 2024, 2024

Efficient Algorithm for Region-Disjoint Survivable Routing in Backbone Networks.

Erika R. Bérczi-Kovács, Péter Gyimesi, Balázs Vass, János Tapolcai

Proceedings of the IEEE INFOCOM 2024, 2024

2021

BUGSJS: a benchmark and taxonomy of JavaScript bugs.

Péter Gyimesi, Béla Vancsics, Andrea Stocco, Davood Mazinanian, Árpád Beszédes, Rudolf Ferenc, Ali Mesbah

Softw. Test. Verification Reliab., 2021

2020

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

2019

Poster: Supporting JavaScript Experimentation with BugsJS.

Béla Vancsics, Péter Gyimesi, Andrea Stocco, Davood Mazinanian, Árpád Beszédes, Rudolf Ferenc, Ali Mesbah

Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

BugsJS: a Benchmark of JavaScript Bugs.

Péter Gyimesi, Béla Vancsics, Andrea Stocco, Davood Mazinanian, Árpád Beszédes, Rudolf Ferenc, Ali Mesbah

Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

Challenging machine learning algorithms in predicting vulnerable JavaScript functions.

Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy

Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2019

2017

Automatic Calculation of Process Metrics and their Bug Prediction Capabilities.

Péter Gyimesi

Acta Cybern., 2017

2016

A Public Bug Database of GitHub Projects and Its Application in Bug Prediction.

Zoltán Tóth, Péter Gyimesi, Rudolf Ferenc

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

2015

Characterization of Source Code Defects by Data Mining Conducted on GitHub.

Péter Gyimesi, Gábor Gyimesi, Zoltán Tóth, Rudolf Ferenc

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015