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Comparison of functions is required in various domains of software   engineering. In most domains, comparison is done using source code, but in   some domains, such as license violation or malware analysis, only binary code   is available. The goal of this paper is to evaluate whether the existing   solution meant for ARM architecture can be applied to x86 architecture. The   existing solution encompasses multiple approaches, but for the purpose of   this paper three representative approaches are implemented; two are based on   machine learning, and the third does not require previous knowledge. Results   show that the best recalls obtained for the first ten positions on both   architectures are comparable and do not differ significantly. The results   confirm that adaptation of all approaches of the existing solution is not   only possible but also promising and represent adequate basis for future   research. [Projekat Ministarstva nauke Republike Srbije, br. III44009 i br.   TR32047

Estimation of similarity between functions extracted from x86 executable files