Bhowmik, M.Nara, M.Mohan, B.R.2026-02-062020Proceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020, 2020, Vol., , p. 169-170https://doi.org/10.1109/ISSREW51248.2020.00066https://idr.nitk.ac.in/handle/123456789/30592With the increase in the number of open-source and commercial code in the market, copyright and license infringement cases are on the rise. The lack of availability of source code makes identification a difficult task as existing techniques heavily rely on the source code. We propose two similarity measurement methods using the instruction log and the call-trace of each executable using Intel Pin tool. A Software Plagiarism Detector(SPD) was developed using the Intel Pin instrumentation tool and we have tested this approach on different small executable single-threaded and multi-threaded files. The results portray the validity of this method. We also talk about the possibility to expand this method for bigger software. © 2020 IEEE.executableinstrumentationsoftware piracysoftware plagiarismsoftware similaritySimilarity Calculation of Executable Using Intel Pin Instrumentation Framework