Way of Audit Results Interpretation

Software audits are a great way to test and keep your system fully functional. But given the ever-increasing size of both systems and the amount of data that passes through systems, the problem of keeping all of their parts in good condition is very important, and software audits help solve this problem. As systems grow, the amount of data produced by audits increases and the process of detecting errors in systems based on their audit becomes more complicated. However, during the literature study, no general algorithm for interpreting audit results was found that could be used to work with different systems. Therefore, this article discusses the problem of interpreting the results of audits on the example of technical audits of websites. Proposed an algorithm for solving this problem using machine learning techniques.