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Cited by 14 publications
(18 citation statements)
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“…Current testing approaches for metamodels fall short in a number of ways: For modeling-space sampling (Gomez et al, 2012;Merilinna et al, 2008), a sufficiently specified model under test is needed, which is not available in an iterative development and evolution of domain models. The same holds true for metamodel-test models (i.e., simulating a set of valid instance model alternatives), which require the full domain model under test to be specified (Sadilek and Weißleder, 2008;Cicchetti et al, 2011). Metamodel validation approaches (e.g., model-constraint evaluations) employ formal expression languages (e.g., OCL), but do not consider the structure of non-executable requirements specifications (Merilinna and Pärssinen, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Current testing approaches for metamodels fall short in a number of ways: For modeling-space sampling (Gomez et al, 2012;Merilinna et al, 2008), a sufficiently specified model under test is needed, which is not available in an iterative development and evolution of domain models. The same holds true for metamodel-test models (i.e., simulating a set of valid instance model alternatives), which require the full domain model under test to be specified (Sadilek and Weißleder, 2008;Cicchetti et al, 2011). Metamodel validation approaches (e.g., model-constraint evaluations) employ formal expression languages (e.g., OCL), but do not consider the structure of non-executable requirements specifications (Merilinna and Pärssinen, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…To verify the conformance relation, the generated models are then reviewed by the domain experts (see [7]) or processed via platformspecific, application-level input/output data to be tested against corresponding applications (see [8]). A first shortcoming with respect to evolving MUTs is the requirement of an existing and sufficiently specified MUT (see [9]) to generate potential instances. This requirement is not always met in the stepwise development of DSML models.…”
Section: Testing Evolving Core Language Modelsmentioning
confidence: 99%
“…Another important testing objective is assessing the specification consistency of the interrelated metamodel specifications, for example, consisting of a meta-metamodel instantiation and metamodel constraints expressed using a constraint language such as the Object Constraint Language (OCL) or the Epsilon Validation Language (EVL). An exemplary consistency defect is the risk of contradicting constraint expressions, such as conflicting invariant expressions in boundary cases (see [9]). An inconsistency defect, however, may also hint at requirements inconsistencies (see [16]).…”
Section: Testing Evolving Core Language Modelsmentioning
confidence: 99%
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