On the Complex Nature of MDE Evolution

Hebig, Regina; Giese, Holger; Stallmann, Florian; Seibel, Andreas

by Regina Hebig, Holger Giese, Florian Stallmann, Andreas Seibel

Abstract:

In Model-Driven Engineering (MDE) the employed setting of languages as well as automated and manual activities has major impact on productivity. Furthermore, such settings for MDE evolve over time. However, currently only the evolution of (modeling) languages, tools, and transformations is studied in research. It is not clear whether these are the only relevant changes that characterize MDE evolution in practice. In this paper we address this lack of knowledge. We first discuss possible changes and then report on a first study that demonstrates that these forms of evolution can be commonly observed in practice. To investigate the complex nature of MDE evolution in more depth, we captured the evolution of three MDE settings from practice and derive eight observations concerning reasons for MDE evolution. Based on the observations we then identify open research challenge concerning MDE evolution.

Reference:

On the Complex Nature of MDE Evolution (Regina Hebig, Holger Giese, Florian Stallmann, Andreas Seibel), In Model Driven Engineering Languages and Systems, 16th International Conference, MODELS 2013 (Ana Moreira, Bernhard Schaetz, eds.), Springer, 2013.

Bibtex Entry:

@InProceedings{Hebig_et_al:0,
AUTHOR = {Hebig, Regina and Giese, Holger and Stallmann, Florian and Seibel, Andreas},
TITLE = {{On the Complex Nature of MDE Evolution}},
YEAR = {2013},
MONTH = {20 September - 4 October},
BOOKTITLE = {Model Driven Engineering Languages and Systems, 16th International Conference, MODELS 2013},
EDITOR = {Moreira, Ana and Schaetz, Bernhard},
SERIES = {LNCS},
ADDRESS = {Miami, USA},
PUBLISHER = {Springer},
PDF = {uploads/pdf/Hebig_et_al:0_submission.pdf},
OPTacc_pdf = {},
ABSTRACT = {In Model-Driven Engineering (MDE) the employed setting of languages as well as automated and manual activities has major impact on productivity. Furthermore, such settings for MDE evolve over time. However, currently only the evolution of (modeling) languages, tools, and transformations is studied in research. 
It is not clear whether these are the only relevant changes that characterize MDE evolution in practice.
In this paper we address this lack of knowledge. We first discuss possible changes and then report on a first study that demonstrates that these forms of evolution can be commonly observed in practice. To investigate the complex nature of MDE evolution in more depth, we captured the evolution of three MDE settings from practice and derive eight observations concerning reasons for MDE evolution. 
Based on the observations we then identify open research challenge concerning MDE evolution.}
}