Title
Qualifying input test data for model transformations
Abstract
Model transformation is a core mechanism for model-driven engineering (MDE). Writing complex model transformations is error-prone, and efficient testing techniques are required as for any complex program development. Testing a model transformation is typically performed by checking the results of the transformation applied to a set of input models. While it is fairly easy to provide some input models, it is difficult to qualify the relevance of these models for testing. In this paper, we propose a set of rules and a framework to assess the quality of given input models for testing a given transformation. Furthermore, the framework identifies missing model elements in input models and assists the user in improving these models.
Year
DOI
Venue
2009
10.1007/s10270-007-0074-8
Software and System Modeling
Keywords
Field
DocType
software testing · model transformation · test criteria · test qualification · metamodelling · model-based testing,model driven engineering,software testing,model based testing
Model transformation,Systems engineering,Integration testing,Computer science,Manual testing,Software performance testing,White-box testing,Non-regression testing,Model-based testing,Keyword-driven testing
Journal
Volume
Issue
ISSN
8
2
1619-1374
Citations 
PageRank 
References 
51
1.52
24
Authors
4
Name
Order
Citations
PageRank
Franck Fleurey1173085.07
Benoit Baudry22000118.08
Pierre-Alain Muller351154.09
Yves Le Traon43922190.39