Method of statistical analysis of software code based on complex parameters

Modern software systems could have big complexity and it is very important to support existing systems and measure the quality. The scope of the article is to review different methods of evaluation code quality and security in modern software systems. Article covers different known code quality metrics and how they can be applied depends on the programming language. Research work is to focus on finding new techniques based on machine learning which allow to find different anti-patterns and code-smells in new ways. Result of method is to detect code-smell and overall quality of the specific software written on C++ or similar language like C#, Java, C++.