Authors:
André Abade
1
;
Fabiano Ferrari
2
and
Daniel Lucrédio
2
Affiliations:
1
Federal University of São Carlos, Federal Institute of Education and Science and Technology of Mato Grosso, Brazil
;
2
Federal University of São Carlos, Brazil
Keyword(s):
Model-Driven Development, MDD, Model-to-Text, M2T, Testing Transformation Model, Complex Data.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Model Driven Architectures and Engineering
;
Software Engineering
;
Tools, Techniques and Methodologies for System Development
Abstract:
Context: Model-Driven Development (MDD) is about to become a reality in the development of enterprise
information systems due to its benefits, such as reduction of development and maintenance costs, and support
for controlled evolution. Consequently, testing model transformations, considering their high complexity particularly
regarding Model-to-Text (M2T) transformations, plays a key role to increase the confidence in the
produced artefacts. Objective: this paper aims to characterize testing approaches and test selection criteria
that focus on M2T transformations, in particular white-box approaches. Method: the objective is accomplished
through a systematic literature review. We defined research questions regarding the testing of M2T
transformations and extracted and analyzed data from a set of primary studies. Results: we identified a variety
of incipient white-box testing approaches for this context. They mostly rely on mapping strategies and
traceability of artefacts. Most of the
m focus on well-formedness and correctness of models and source code,
although we could notice a change of focus in most recent research. Conclusions: current solutions for testing
M2T transformations have begun to change the initial focus on well-formedness and correctness of models.
Some approaches involve techniques that establish coverage criteria for testing, whereas others try to solve the
testability across many transformations languages.
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