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Jean-Marie Mineau 2025-07-19 23:01:15 +02:00
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@ -59,12 +59,11 @@ Reaves #etal also report that real world applications are more challenging to an
We will confirm and expand this result in this paper with a larger dataset than only 16 real-world applications.
// Indeed, a more diverse dataset would assess the results and give more insight about the factors impacting the performances of the tools.
// PAS LA PLACE !
// Finally, our approach is similar to the methodology employed by Mauthe #etal for decompilers@mauthe_large-scale_2021.
// To assess the robustness of android decompilers, Mauthe #etal used 4 decompilers on a dataset of 40 000 applications.
// The error messages of the decompilers were parsed to list the methods that failed to decompile, and this information was used to estimate the main causes of failure.
// It was found that the failure rate is correlated to the size of the method, and that a consequent amount of failure are from third parties library rather than the core code of the application.
// They also concluded that malware are easier to entirely decompile, but have a higher failure rate, meaning that the one that are hard to decompile are substantially harder to decompile than goodware.
Finally, our approach is similar to the methodology employed by Mauthe #etal for decompilers@mauthe_large-scale_2021.
To assess the robustness of android decompilers, Mauthe #etal used 4 decompilers on a dataset of 40 000 applications.
The error messages of the decompilers were parsed to list the methods that failed to decompile, and this information was used to estimate the main causes of failure.
It was found that the failure rate is correlated to the size of the method, and that a consequent amount of failure are from third parties library rather than the core code of the application.
They also concluded that malware are easier to entirely decompile, but have a higher failure rate, meaning that the one that are hard to decompile are substantially harder to decompile than goodware.
/*