TY - GEN
T1 - Modelling language quality evaluation in model-driven information systems engineering
T2 - 9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015
AU - Giraldo, Faber D.
AU - Espana, Sergio
AU - Giraldo, William J.
AU - Pastor, Oscar
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/19
Y1 - 2015/6/19
N2 - [Context and motivation] The Model-Driven Engineering (MDE) paradigm remains an active niche in information systems engineering and research. Given their primary role, assuring the quality of models and modelling languages is crucial. In a previous literature review, we have confirmed that there exist different conceptions on model and modelling language quality. [Question/problem] Also, many approaches tackle a narrow perspective and practitioners often feel that such practices burden them with extra effort. A wider overview of the field is needed, taking into account the constraining and pressing conditions of industrial practice. [Principal ideas/results] This paper recalls the essence of, current trends and pitfalls of modelling language quality evaluation within MDE. Some of the current unsolved issues are related to a growing system complexity, evaluating the quality of a complementary set of languages, the need to bring model transformations in the picture, etc. [Contribution] Through this evaluation work, we define a research agenda that reveals the main challenges in modelling language quality evaluation in the context of MDE.
AB - [Context and motivation] The Model-Driven Engineering (MDE) paradigm remains an active niche in information systems engineering and research. Given their primary role, assuring the quality of models and modelling languages is crucial. In a previous literature review, we have confirmed that there exist different conceptions on model and modelling language quality. [Question/problem] Also, many approaches tackle a narrow perspective and practitioners often feel that such practices burden them with extra effort. A wider overview of the field is needed, taking into account the constraining and pressing conditions of industrial practice. [Principal ideas/results] This paper recalls the essence of, current trends and pitfalls of modelling language quality evaluation within MDE. Some of the current unsolved issues are related to a growing system complexity, evaluating the quality of a complementary set of languages, the need to bring model transformations in the picture, etc. [Contribution] Through this evaluation work, we define a research agenda that reveals the main challenges in modelling language quality evaluation in the context of MDE.
KW - model quality evaluation issues
KW - Model-Driven Engineering
KW - Modelling language quality
KW - open challenges
KW - research roadmap
UR - http://www.scopus.com/inward/record.url?scp=84937896262&partnerID=8YFLogxK
U2 - 10.1109/RCIS.2015.7128864
DO - 10.1109/RCIS.2015.7128864
M3 - Conference contribution
AN - SCOPUS:84937896262
T3 - Proceedings - International Conference on Research Challenges in Information Science
SP - 64
EP - 69
BT - 9th IEEE International Conference on Research Challenges in Information Science (RCIS 2015)roceedings
A2 - Rolland, Colette
A2 - Anagnostopoulos, Dimosthenis
A2 - Loucopoulos, Pericles
A2 - Gonzales-Perez, Cesar
PB - IEEE
Y2 - 13 May 2015 through 15 May 2015
ER -