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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Software Security Static Analysis False Alerts Handling Approaches

Author 1: Aymen Akremi

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2021.0121180

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 11, 2021.

  • Abstract and Keywords
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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

Aymen Akremi, “Software Security Static Analysis False Alerts Handling Approaches” International Journal of Advanced Computer Science and Applications(IJACSA), 12(11), 2021. http://dx.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},
doi = {10.14569/IJACSA.2021.0121180},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121180},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {11},
author = {Aymen Akremi}
}


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