Best Static Code Analysis Software

Software projects tend to be complex and there is the law of entropy making it more complex all the time. The developers easily get lost in the dependency network and tend to create designs that does not stand time well. Softagram provides automatically illustrations on how the dependencies are changing. Automated integration works so that pull requsts (in GitHub, Bitbucket, Azure DevOps), merge requests (in GitLab) and patch sets (in Gerrit) are decorated with a dependency analysis report that pops up as a comment in the tool you already use. The analysis also covers other aspects such as open source licenses and quality. It can be tailored for your needs. Software audits can also be efficiently performed by using Softagram analysis together with Softagram Desktop app designed for advanced software understanding and auditing usage.

CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate.