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Embedded platform btcbtc-embeddedplatform-plugin/Jenkinsfile at master · jenkinsci/btc-embeddedplatform-plugin · GitHub
The generation of a counterexample distinguishes model checking in particular from other automated analysis methods like abstract interpretation. The appropriate method is selected automatically in an intelligent way according to the nature of the system-under-test. As an input and semantic foundation for the model checker, we use the ANSI-C production code, which makes the technology applicable for model-based development projects with automatically generated code as well as for handwritten code.
One application is the generation of structural test data for full code coverage within BTC EmbeddedTester. In this use case, model checking technology is not used to prove the absence of errors, but rather to generate test vectors by using "trap properties.
When the model checker returns a counterexample, this indicates that the specific code part is not dead. The counterexample demonstrates how to fulfill the corresponding decision.
Finally, BTC EmbeddedValidator applies the model checking technology to perform automated and complete mathematical proof that shows a particular requirement can never be violated by the system-under-test.
In modern development projects, different test methods need to be combined to ensure a sufficient level of quality. This is e. While all methods have a different approach, they also have much in common.
For all test methods, it is necessary to know the interface of the system-under-test, to be able to simulate and debug, or to generate reports. It may also be useful to share information and artifacts between the use cases, such as reusing functional test cases for a Back-to-Back Test. BTC EmbeddedPlatform provides a common database and user interface to address different ISO compliant verification methodologies.
Features that are required across multiple use cases are provided once and can be reused efficiently. The topic of debugging is an often underestimated but still very important task especially in modern, distributed development processes, where cost and time efficiency are key factors for success. BTC Embedded Platform is approaching these challenges with automatically generated and self-contained debug environments, that can be exported on model-level Simulink, TargetLink or Embedded Coder as well as on code-level Microsoft Visual Studio.