Code Testing & Verification
Certified Tools for Every Stage of the Verification Process
Software defects in safety-critical systems can lead to injury, recalls, and certification failure. Code verification confirms that software correctly implements its specification and produces the documented evidence that certification requires.
Why Code Verification Matters
In regulated industries, you must prove that requirements are correctly implemented. Missing coverage or traceability creates gaps that surface during certification audits and delay product release.
A Complete Verification Approach
Effective verification combines static analysis, dynamic testing, coverage measurement, and requirements traceability into a single workflow. Each activity produces evidence that feeds directly into the compliance case.
- Static Analysis for early defect detection
- Testing for runtime verification
- Coverage to verify testing completeness
- Traceability to assure correctness
Explore Verification Tools
PC-lint Plus
PC-lint Plus delivers deep, certified static analysis for C and C++ codebases of any size. It supports MISRA C and C++, AUTOSAR C++, CERT-C, and CWE out of the box, integrates into virtually any build chain, and runs entirely on-premises. Every finding is traceable and every suppression is documented.
VectorCAST
VectorCAST automates unit and integration testing for safety-critical embedded software. It handles test environment construction, stub generation, host and target execution, coverage measurement to all required levels including MC/DC, and bidirectional requirements traceability. Change-Based Testing keeps CI cycles short on large codebases.
Squore
Squore aggregates data from across the development toolchain, including static analysis results, test results, coverage metrics, and requirements databases, into a single dashboard. It enforces quality gates that keep compliance obligations visible across the full team and project and provides trend analysis that surfaces deterioration early.
Core Verification Activities
Static Analysis
Static code analysis examines source code without executing it, enabling early detection of defects, security vulnerabilities, and coding standard violations. By identifying issues before testing begins, it improves code quality, reduces debugging effort, and supports reliable, compliance-driven development.
Dynamic Verification & Testing
Dynamic verification and testing execute software to verify its behavior at runtime. By systematically checking components and their interactions, it uncovers defects early and ensures correct functionality. VectorCAST automates this process for embedded C, C++, and Ada, producing the structural coverage evidence and requirements traceability that ISO 26262, DO-178C, and IEC 61508 require.
Continuous Monitoring
Continuous monitoring provides a project-level view of software quality by tracking results from analysis and testing over time. It reveals trends, gaps, and risks early, enabling informed decisions and ensuring that quality objectives are consistently met as complexity grows.
Built for Regulated Development
PC-lint Plus is certified by exida to ISO 26262:2018 (ASIL A through D), IEC 61508:2010 (SIL 1 through 4), EN 50716, and IEC 62304. VectorCAST coverage measurement results are certified by TÜV for ISO 26262 at all ASIL levels, DO-178C at all DAL levels including MC/DC for Level A, IEC 61508 at all SIL levels, IEC 62304, and EN 50716. Certification documents are included in the standard license at no additional cost. Qualification Kits are available on request.
Go Deeper
What is Code Verification?
A complete definition including all activities from static analysis and unit testing to coverage measurement and requirements traceability.
Verification vs. Validation
The precise distinction between the two activities, what each produce as evidence, and why both are required under every major safety standard.
Static vs. Dynamic Verification
How static analysis and dynamic testing differ, what each find, and why safety-critical development requires both working together.
Why Code Quality Matters
The safety, financial, and regulatory consequences of poor quality in automotive, aerospace, medical, and industrial software.
From Quality to Compliance
How a structured quality process naturally generates the requirements traceability, coverage data, and tool qualification evidence standards require.
