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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Software Security Static Analysis False Alerts Handling Approaches

Author 1: Aymen Akremi
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 12, No. 11 · Published 2021

DOI: https://doi.org/10.14569/IJACSA.2021.0121180

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Abstract

False Positive Alerts (FPA), generated by Static Analyzers Tools (SAT), reduce the effectiveness of the automatic code review, letting them be underused in practice. Researchers conduct a lot of tests to improve SAT accuracy while keeping FPA at a lower rate. They use different simulated and production datasets to validate their proposed methods. This paper surveys recent approaches dealing with FPA filtering; it compares them and discusses their usefulness. It also studies the used datasets to validate the identified methods and show their effectiveness to cover most program defects. This study focuses mainly on the security bugs covered by the datasets and handled by the existing methods.

Keywords

Software security static analysis false alert reduc-tion source code dataset security bugs

How to Cite this Article

Akremi, A. (2021). Software Security Static Analysis False Alerts Handling Approaches. International Journal of Advanced Computer Science and Applications, 12(11). https://doi.org/10.14569/IJACSA.2021.0121180

Akremi, Aymen. "Software Security Static Analysis False Alerts Handling Approaches." International Journal of Advanced Computer Science and Applications, vol. 12, no. 11, 2021, https://doi.org/10.14569/IJACSA.2021.0121180.

@article{Akremi2021,
  title     = {Software Security Static Analysis False Alerts Handling Approaches},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {11},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Aymen Akremi},
  doi       = {10.14569/IJACSA.2021.0121180},
  url       = {https://doi.org/10.14569/IJACSA.2021.0121180}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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