This article discusses an actual problem in the field of programming — the borrowing of code and the possibility of its analysis. With the increase in the number of programmers and the abundance of software solutions, there is a need to determine the dependencies and uniqueness of the code used. Along with the increasing distribution of code through libraries and open sources, it becomes relevant to identify cases of plagiarism or illegal use. This article explores effective methods and tools for finding borrowed code. Through the presentation of existing algorithms and approaches, the authors of the article offer an assessment of the effectiveness of existing solutions and provide examples of algorithms that contribute to the analysis of the code for similarity.
This article discusses an actual problem in the field of programming — the borrowing of code and the possibility of its analysis. With the increase in the number of programmers and the abundance of software solutions, there is a need to determine the dependencies and uniqueness of the code used. Along with the increasing distribution of code through libraries and open sources, it becomes relevant to identify cases of plagiarism or illegal use. This article explores effective methods and tools for finding borrowed code. Through the presentation of existing algorithms and approaches, the authors of the article offer an assessment of the effectiveness of existing solutions and provide examples of algorithms that contribute to the analysis of the code for similarity.