Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
Presented by further development of problem solution attribution (determination of authorship) software based on their source code. An improved system metrics by which features "handwriting" of the author are digital evaluation. All these assessments determine the profile of the author. The proposed system differs from existing metrics selection of the most significant indicators that take into account the particular style design source code, names of variables used and the advantages that gives the author using certain lexical structures. It includes the following categories of indicators: keywords, signs transactions, dividers, spaces before and after the decimal operations, proper names are identifiers that uses programmer. The advantage of the reduced system metrics are independent of programming languages - none of the indicators used are not tied to a particular language. According to the tests proposed system metrics to determine the author's code with an average accuracy of 85 percent.
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