Static code analysis is by no means a one-size-fits-all job, so it won’t hurt to use more than a single tool for it. Well, let’s move on to the next one then.

Combining breakthroughs in dataflow analysis with a Software DNA Maphas created substantial benefits for development organisations byenabling them to detect defects early in development. However, ...

Find the best static code analysis tools in 2025. From comprehensive defect detection to seamless integration, these tools ensure secure, high-quality code for developers.

After a Java static code analysis runs, PMD provides a report of the offending lines of code. PMD can identify common problems such as the hard coding of passwords and IP addresses, the use of a ...

Static analysis works on source code and tries to identify errors based on what it can tell about the program. For example, it can highlight “dead code” that will never execute.

For example, LDRA’s Embed-X addresses life-cycle management. Programming Research’s Structure101, an adjunct to PQRA, displays the interaction within an application’s architecture (Fig. 2).

Combining both types of code review should pick up about 95% of the flaws, provided the reviews are done by someone able to understand the source code during static analysis, and that the range of ...

Not every popular code analysis tool uses Roslyn however. The Resharper tool, for example, has been around for longer, and uses proprietary technology from JetBrains.

For me, Performant code is about gaining visibility into the behavior of your code, both at rest and at runtime. Static code analysis helps you catch logical errors, security vulnerabilities, and ...

Ultimately, writing a good static analysis tool is hard, and there are plenty of cases where it’s likely to trip up and give an invalid result.