作者: Alan Hartman , Mika Katara , Sergey Olvovsky
DOI: 10.1007/978-3-540-70889-6_16
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摘要: Deployment of model-based testing involves many difficulties that have slowed down its industrial adoption. The leap from traditional scripted to seems as hard moving manual automatic test execution. Two key factors in the deployment are language used define models, and for defining objectives. Based on our experience, we survey different types languages sketch solutions based approaches, considering organization, system under test, etc. cover include among others domain-specific, test-specific well generic design languages. We note there no best practices, but provide general guidelines various cases.