1. Janne Merilinna, Olli-Pekka Puolitaival, John Menke, Tihamer Levendovszky, Jonathan Sprinkle, Mika Karaila, Edgars Rencis, Hiroshi Kazato, Takashi Kopayashy Verification and Validation in the Context of DSM

2. Table of Context Metamodel Testing Code Generator Testing Model Testing Conclusion

3. Metamodel Testing Causes of Errors Metamodel does not cover the problem domain Metamodel does not fit to the framework Error categories Missing rules Missing associations Missing constrains Missing cardinality Missing entities How to test the metamodels Verification We need to have a huge number of test cases, i.e. application models But we cannot verify the metamodel as such

4. Code Generator Testing Causes of errors Templates are wrong Logic of the code generators is wrong Testing Metamodel limits the input Application models are the input, i.e. the test cases for code generator We don’t want to test only the code generator From research point of view this might be interesting Practice?

5. Model Testing Causes of errors Incorrect metamodel Formal methods Transforming application models to something else where we can apply formal methods Petri Net etc. Deadlock Structure semantics Etc. Does these kind of tests really say anything in practice You still have to generate code and you still have your framework on which you generate code BUT can you detect something earlier? BUT can you detect something earlier? Model-Based Testing?

6. Conclusion Sun was shining The beer was good Loud discussions Which was good However To be continued in the next SPLASH (OOPSLA) DSM’10