Program matching through code analysis and artificial neural networks

17 p. : il.Program matching refers to the mapping between equivalent codes written in different languages - including high-level and low-level languages. This equivalence is useful for some software engineering scenarios such as determining whether rewritten code is cor- rect, which version of a program is being used, and whether a malware is present in the program. In the present work, we propose a novel approach to solve the executable code traceability by using program code analysis and arti cial neural networks. From the program code analysis we obtained execution behavior properties of the codes, and from the artifcial neural networks we judge about their correspondence. Our evaluation using real code examples shows an acceptable correspondence rate between 62% and 100% with the very low rate of 4% false positives