The earlier the error is detected, the lower the cost of fixing it. The main advantage of static analysis - it reduces the cost of fixing program defects. Of course, this article is only about the PVS-Studio analyzer. The list of languages available for static code analysis is also long - C, C++, C#, Java, Ada, Fortran, Perl, Ruby, etc. Their list is available on Wikipedia: List of tools for static code analysis. There are lots of paid and free static code analyzers. If you are interested in numbers, you can read the ' PVS-Studio ROI' article. However, the price/benefit ratio makes static analyzers a very effective practice used by many companies.

Of course, the tool won't replace a real code review with a team of developers. They process the program's source code non-stop and recommend the developer to pay special attention to certain code fragments. A compromise solution is static code analysis tools.

On the other hand, they're too expensive. On the one hand, regular code reviews are necessary. Developers have to regularly gather to inspect new code or re-inspect the changed one.

But it also has a drawback - it costs too much.

A joint code review is a wonderful methodology. In general, static analysis is an automated code review process. Static code analysis is a process of detecting errors and flaws in the program's source code. What is static code analysis and why do we need it?