A basic norm equivalence for the theory of multilevel by Bornemann F., Yserentant H.

By Bornemann F., Yserentant H.

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The proposed approach is based on calculating approach level and branch distances to guide the search. For this purpose, we have developed specialized heuristics for calculating branch distances of model transformations. The approach allows test data generation corresponding to various coverage criteria, including statement coverage, branch coverage, and multiple condition/decision coverage. Our approach is generic and can be applied to various model transformation languages. Our developed tool, MOTTER, works with Atlas Transformation Language (ATL) as a proof of concept.

Di Ruscio and D. ): ICMT 2014, LNCS 8568, pp. 17–24, 2014. A. Z. U. Khan other hand automated generation of input models requires solving complex constraints on the meta-models. In this paper, our objective is to enable automated structural testing of model transformations. The idea is to generate test cases that cover various execution paths of the software under test. We present an automated search-based test data generation approach for model transformations. To guide the search, we propose a fitness function specific for model transformation.

6 Related Work Although not related to model transformation testing, to the best of our knowledge, the first attempt of using partition analysis to derive test models out of UML class diagrams was made by Andrews et al. [3]. In this work, partition analysis is employed to identify representative values of attributes and association ends multiplicities to steer the generation of test models. However, OCL invariants are analyzed only in the context of how they restrict the values an individual attribute can take.

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