• 2124 Citations
  • 23 h-Index
1990 …2019
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Fingerprint Dive into the research topics where T. Gyimóthy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Maintainability Engineering & Materials Science
Computer software maintenance Engineering & Materials Science
Testing Engineering & Materials Science
Attribute Grammars Mathematics
Quality assurance Engineering & Materials Science
Software engineering Engineering & Materials Science
Reverse engineering Engineering & Materials Science
Specifications Engineering & Materials Science

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Research Output 1990 2019

  • 2124 Citations
  • 23 h-Index
  • 89 Conference contribution
  • 32 Article
  • 2 Chapter

A New Interactive Fault Localization Method with Context Aware User Feedback

Horváth, F., Lacerda, V. S., Beszédes, A., Vidacs, L. & Gyimóthy, T., Mar 11 2019, IBF 2019 - 2019 IEEE 1st International Workshop on Intelligent Bug Fixing. Cheung, S-C., Sun, X. & Zhang, T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 23-28 6 p. 8665415. (IBF 2019 - 2019 IEEE 1st International Workshop on Intelligent Bug Fixing).

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

Feedback
Experiments

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
1 Citation (Scopus)

Feature analysis using information retrieval, community detection and structural analysis methods in product line adoption

Kicsi, A., Csuvik, V., Vidács, L., Horváth, F., Beszédes, A., Gyimóthy, T. & Kocsis, F., Sep 1 2019, In : Journal of Systems and Software. 155, p. 70-90 21 p.

Research output: Contribution to journalArticle

Open Access
Information retrieval
Structural analysis
Experiments