Discover results of a replication study analyzing Copilot's code suggestions for CWE vulnerabilities, highlighting wins and losses in AI-generated code security
Authors: Vahid Majdinasab, Department of Computer and Software Engineering Polytechnique Montreal, Canada; Michael Joshua Bishop, School of Mathematical and Computational Sciences Massey University, New Zealand; Shawn Rasheed, Information & Communication Technology Group UCOL - Te Pukenga, New Zealand; Arghavan Moradidakhel, Department of Computer and Software Engineering Polytechnique Montreal, Canada; Amjed Tahir, School of Mathematical and Computational Sciences Massey University, New...
The results are presented in Table III. The Rank column illustrates the ranking of the CWE within the top 25 by MITRE. For each CWE, we used up to three distinct scenarios. As elaborated in section III, similar to the study of Pearce et al. , the scenarios are generated from three diverse sources: The examples and documentations in CodeQL’s repository, examples for each CWE in MITRE’s database, and scenarios designed by the authors. The Orig.
The results are presented in Table III. The Rank column illustrates the ranking of the CWE within the top 25 by MITRE. For each CWE, we used up to three distinct scenarios. As elaborated in section III, similar to the study of Pearce et al. , the scenarios are generated from three diverse sources: The examples and documentations in CodeQL’s repository, examples for each CWE in MITRE’s database, and scenarios designed by the authors. The Orig.
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