On the Complex Nature of MDE Evolution (bibtex)
Reference:
, "On the Complex Nature of MDE Evolution", in Ana Moreira, Bernhard Schaetz, Eds., Model Driven Engineering Languages and Systems, 16th International Conference, MODELS 2013, LNCS, Miami, USA: Springer, 20 September - 4 October 2013.
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.
Links:
[bibtex]
@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.}
}
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