Static code analysis tools for C
Utilize static code analysis to find issues in C such as bugs, code smells & security vulnerabilities. Use the Sonar language analyzer with hundreds of rules to evaluate your code and ensure the security, reliability and maintainability of your software.
Latest C standards
Dedicated static analysis rules to cover the latest language standards from C89 to C18
MISRA
MISRA C-2023, SEI CERT C and more rules implemented to protect your safety-critical code.
Code security
Rules to detect vulnerabilities in C stemming from known OWASP & CWE Top 25 guidelines.
Quick fixes
Allow you to effortlessly repair your C coding issues with just a click.
SonarQube code analysis finds issues while you focus on the work
It all comes from a powerful static analysis engine that we constantly refine. SonarQube Server and Cloud employ advanced rules along with smart, exclusive static code analysis techniques to find the trickiest, most elusive issues, code smells, and security vulnerabilities.
Precise static analysis
Deep static analysis of your code through symbolic execution, path sensitive analysis & cross-function/cross file taint analysis.
Fast issue resolution
Issue contextualization with secondary locations highlighted and clear remediation guidance helps you understand and construct a fix.
Minimal distractions
Automatic pull request analysis with results displayed in the comments of your favorite DevOps platform so you stay in the zone.
"We're not just keeping quality high; we're actually able to go faster … AI makes it easier to deliver velocity, but only if you provide the right context from tools like SonarQube."
Stephen ByrnesDistinguished Engineer
"We're not just keeping quality high; we're actually able to go faster … AI makes it easier to deliver velocity, but only if you provide the right context from tools like SonarQube."
Stephen ByrnesDistinguished Engineer
Produce secure, reliable and maintainable software
Sonar brings Code Quality to where your code lives. Sonar is tightly integrated with your CI/CD workflow to feed you the right info at the right time and place.
C lint analysis in your IDE
SonarQube for IDE in your IDE is your first line of defense for keeping the code you write today clean and secure. Issues are raised in-line with clear rule descriptions and guidance.
With SonarQube for IDE, the impact is immediate and no configuration is required. You learn from the real-time feedback provided and quickly resolve issue with contextual guidance and automatic Quick Fixes!
SonarQube for IDE is available from your IDE marketplace:
Visual Studio | VS Code | JetBrains | Eclipse
C in your workflow
Automatically analyze Pull Requests and feature branches with the results decorated in the DevOps platform of your choice.
Your team can share rule configurations and exclusions across projects and coalesce on a shared definition of excellence. The project Quality Gate is visible to everyone and the releasabity status is clear.
SonarQube Cloud tightly integrates with:
GitHub | Bitbucket | Azure DevOps | GitLab
Supported Environments
We gather the information required for analysis by unobtrusively monitoring your build, so analysis is compatible with:
- Code compiled on Windows, Linux (x86_64 and AArch64), macOS (x86_64 and arm64)
- Any build system
- Incremental code analysis
- Parallel code analysis
Supported Compilers
We provide support for most popular compilers:
- Clang, GCC, MSVC, ARM, QNX compilers
- Intel compilers for Linux, macOS
- Wind River Diab and GCC
- IAR compilers for 8051, ARM, AVR32, AVR, Renesas RL78, Renesas RX, Renesas V850, Renesas H8, and Texas Instruments MSP430
- Texas Instruments compilers on Windows and macOS for ARM, C2000, C6000, C7000, MSP430, PRU
Language Versions & Standards
C89, C99, C11, C17, C23
GNU extensions
MISRA C:2004, MISRA C:2012, MISRA C:2023
SEI CERT C
Start cleaning your C code now
What is C static code analysis?
C static code analysis is the process of examining C source code without executing it to identify bugs, vulnerabilities, maintainability issues, and patterns that can reduce software reliability. It helps development teams find problems earlier in the software developer lifecycle, improve code quality, and enforce consistent engineering standards before issues reach testing or production.
Why is static code analysis important for C projects?
Static code analysis is especially valuable for C because the language gives developers low-level control over memory and system resources, which can also make defects more costly and harder to detect later. By analyzing code continuously, teams can catch risky patterns earlier, reduce technical debt, improve code maintainability, and strengthen trust in safety-critical or performance-sensitive applications.
What kinds of issues can SonarQube detect in C code?
SonarQube can help teams detect a broad range of issues in C code, including bugs, security weaknesses, and maintainability problems that affect long-term code health. This includes issues related to unsafe coding patterns, reliability risks, readability concerns, and problems that make software harder to change or review, helping teams focus on quality earliest in the software developer lifecycle while developers are coding rather than waiting until late-stage testing where it is more difficult and more expensive to find and resolve.
Does Sonar support secure C coding practices?
Yes, Sonar is designed to help teams improve the security and robustness of C applications by identifying code patterns that may lead to vulnerabilities or unsafe behavior. This supports development teams that want to reduce risk, align with secure coding expectations, and build stronger habits around new code quality instead of trying to fix everything only after release.
How does SonarQube help improve C code quality over time?
SonarQube helps improve C code quality by giving teams continuous visibility into issues in both existing code and newly added code, making it easier to prevent further degradation while steadily improving the codebase. This focus on new code quality encourages teams to stop introducing fresh issues, prioritize the most important fixes, and build a sustainable path toward better maintainability and reliability.
Can SonarQube be used in CI/CD pipelines for C projects?
Yes, SonarQube is commonly used in CI/CD workflows so teams can analyze C code automatically during builds, branch, and pull request processes. This allows developers to detect issues early, enforce quality gates before changes are merged, and bring code quality checks directly into the delivery pipeline so quality becomes part of everyday development rather than a separate manual step.
Is SonarQube suitable for embedded C and systems programming?
Yes, static analysis is highly relevant for embedded C and systems programming because these environments often demand high reliability, efficiency, and careful resource management. SonarQube can support teams working on low-level software by helping them identify risky constructs early, maintain consistent standards, and protect software quality in projects where defects are difficult and expensive to diagnose after deployment.
What is the difference between SonarQube Server, SonarQube Cloud, and SonarQube for IDE for C development?
SonarQube Server provides self managed and self hosted code analysis and quality governance for teams, SonarQube Cloud delivers a cloud-based experience for analyzing and managing code quality. Both integrate into your DevOps platform to place quality gate checks at critical stages of the CI/CD. SonarQube for IDE brings code issue detection directly into the developer workflow inside the IDE. Together, they support a full experience from fast feedback during coding to shared team standards and automated checks in pull requests and CI/CD pipelines.
Can developers check C code issues before committing changes?
Yes, developers it is more desirable to verify code and solve issues earlier in the development process by using SonarQube for IDE, which helps surface relevant code quality feedback while they are writing or modifying code. This enables teams to focus on new code, fix issues before code review, and reduce the cost of rework by addressing problems when they are easiest to understand and resolve.
How do teams get started with C static code analysis in SonarQube?
Getting started typically involves connecting the C project to SonarQube Server or SonarQube Cloud, configuring analysis as part of the build process, and reviewing the resulting findings in a shared dashboard. From there, teams usually define quality standards for new code, integrate analysis into pull requests or CI/CD pipelines, and use the feedback to improve reliability, security, and maintainability over time.