

Find out what your peers are saying about Veracode, Checkmarx, OpenText and others in Dynamic Application Security Testing (DAST).
| Product | Mindshare (%) |
|---|---|
| Continuous Dynamic (formerly WhiteHat Dynamic) | 4.3% |
| Veracode | 14.8% |
| Checkmarx One | 14.4% |
| Other | 66.5% |
| Product | Mindshare (%) |
|---|---|
| Polyspace Code Prover | 1.3% |
| SonarQube | 12.7% |
| Checkmarx One | 8.3% |
| Other | 77.7% |
| Company Size | Count |
|---|---|
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
Continuous Dynamic™ is a powerful dynamic application security testing (DAST) solution that rapidly and accurately finds vulnerabilities in websites and applications. With this DAST solution, you can perform scans and testing at the scale and speed modern enterprises need to identify security risks across your entire application portfolio.
Polyspace Code Prover boosts code reliability by identifying critical issues like memory corruption and null pointer dereferences, adhering to ISO 26262 standards.
Polyspace Code Prover offers advanced static code analysis tailored to detect complex runtime issues, making it a substantial asset in safety-critical software development. With features that facilitate easy integration with minimal tool switching, it effectively examines code segment runtimes for potential faults such as memory overflows. Polyspace Code Prover stands out by providing mathematical proofs of correctness, differentiating it from other static tools. However, improvements in processing speed and large-scale application handling remain necessary. While integration challenges exist with CI environments like AWS and Azure, the tool's efficiency is valued in automotive applications for unit-level verification and requirement-based component development, despite some scalability limitations.
What are Polyspace Code Prover's key features?In industries such as automotive, Polyspace Code Prover is crucial for Functional Safety validation. It is applied in diverse projects like vertical control systems and cluster infotainment, with a focus on requirement-based component development. Despite challenges in larger applications, it remains a vital tool for analyzing Simulink models and small-scale implementations.
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