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  1. Jan 11, 2024With the evolution of software systems, their size and complexity are rising rapidly. Identifying vulnerabilities as early as possible is crucial for ensuring high software quality and security. Just-in-time (JIT) vulnerability prediction, which aims to find vulnerabilities at the time of commit, has increasingly become a focus of attention. In our work, we present a comparative study to ...
  2. researchgate.net

    Jan 11, 2024In our work, we present a comparative study to provide insights into the current state of JIT vulnerability prediction by examining three candidate models: CC2Vec, DeepJIT, and Code Change Tree.
  3. Jan 11, 2024The paper provides a comparative study of three methodologies for JIT vulnerability prediction. Two of the selected methodologies represent the existing state of the art and act as the benchmark while the third one is the result of the authors' work. ... P., & Ferenc, R. (2024). A Comparative Study of Commit Representations for JIT ...
  4. semanticscholar.org

    This work presents a comparative study to provide insights into the current state of JIT vulnerability prediction by examining three candidate models: CC2Vec, DeepJIT, and Code Change Tree by examining their predictive power, usability in terms of false positive rates, and the granularity of the source code analysis they are capable of handling. With the evolution of software systems, their ...
  5. A Comparative Study of Commit Representations for JIT Vulnerability Prediction Tamás Aladics, Péter Hegedűs, Rudolf Ferenc; Affiliations Tamás Aladics Department of Sofware Engineering, University of Szeged, 6720 Szeged, Hungary Péter Hegedűs Department of Sofware Engineering, University of Szeged, 6720 Szeged, Hungary ...
  6. citedrive.com

    Just-in-time (JIT) vulnerability prediction, which aims to find vulnerabilities at the time of commit, has increasingly become a focus of attention. In our work, we present a comparative study to provide insights into the current state of JIT vulnerability prediction by examining three candidate models: CC2Vec, DeepJIT, and Code Change Tree.
  7. inf.u-szeged.hu

    A Comparative Study of Commit Representations for JIT Vulnerability Prediction. Computers, 13(1):22, January 2024. [ bib | http ] 2023 Yue Sun, Sandor Brockhauser, Péter Hegedűs, Christian Plückthun, Luca Gelisio, and Danilo Enoque Ferreira de Lima. Application of self-supervised approaches to the classification of X-ray diffraction spectra ...
  8. researchgate.net

    A Comparative Study of Commit Representations for JIT Vulnerability Prediction. Computers 2024, 13, ... Just-in-time (JIT) vulnerability prediction, which aims to find vulnerabilities at the time of

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