• 1916 Citations
  • 17 h-Index
20012019
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where R. Ferenc is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Maintainability Engineering & Materials Science
Computer software maintenance Engineering & Materials Science
Reverse engineering Engineering & Materials Science
Computer programming languages Engineering & Materials Science
Quality assurance Engineering & Materials Science
Static analysis Engineering & Materials Science
Reengineering Engineering & Materials Science
Software engineering Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2001 2019

  • 1916 Citations
  • 17 h-Index
  • 68 Conference contribution
  • 22 Article
  • 1 Chapter
4 Citations (Scopus)

BugsJS: A benchmark of javascript bugs

Gyimesi, P., Vancsics, B., Stocco, A., Mazinanian, D., Beszédes, A., Ferenc, R. & Mesbah, A., Apr 1 2019, Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation, ICST 2019. Institute of Electrical and Electronics Engineers Inc., p. 90-101 12 p. 8730197. (Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation, ICST 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Testing
Computer programming languages
Servers

Challenges of SonarQube Plug-In Maintenance

Barta, B., Manz, G., Siket, I. & Ferenc, R., Mar 15 2019, SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering. Shihab, E., Lo, D. & Wang, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 574-578 5 p. 8667988. (SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Application programming interfaces (API)
Quality management
Graphical user interfaces

Challenging machine learning algorithms in predicting vulnerable javascript functions

Ferenc, R., Hegedus, P., Gyimesi, P., Antal, G., Ban, D. & Gyimóthy, T., May 1 2019, Proceedings - 2019 IEEE/ACM 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2019. Institute of Electrical and Electronics Engineers Inc., p. 8-14 7 p. 8823747. (Proceedings - 2019 IEEE/ACM 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning algorithms
Learning systems
Sampling
Crime
Classifiers