Der folgende Artikel "Statisches vs. dynamisches Testen: Unterschiede in der modellbasierten Entwicklung" ist derzeit nur auf Englisch verfügbar. In dem Beitrag werden die Unterschiede zwischen dynamischem und statischem Testen in der modellbasierten Entwicklung erläutert. Dabei wird aufgezeigt, wie beide Ansätze zur Qualitätssicherung beitragen, welche Fragestellungen sie jeweils beantworten und weshalb ihre Kombination eine effektive Verifikationsstrategie ermöglicht.
In modern software development, ensuring software quality is essential. This is especially true in safety-critical domains such as automotive and embedded systems.
In model-based development, engineers use models to design, simulate, and automatically generate code for complex systems. Because models often serve as the basis for production code, verifying their quality early in the development process is crucial. Late defect detection leads to costly rework and delays.
Two important verification approaches support this goal: dynamic testing and static testing.
Dynamic testing evaluates software or models by executing them and observing their behavior at runtime. Static testing, in contrast, analyzes software artifacts without executing them. As a result, they answer different questions: 'Does it work?' vs 'Is it built correctly?'
Both approaches help teams detect defects at different stages of development. When combined, they create a more effective verification strategy.
Understanding the difference between dynamic and static testing helps development teams apply the right technique at the right time.