2015
DOI: 10.1007/s10270-015-0464-2
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On the complex nature of MDE evolution and its impact on changeability

Abstract: In model-driven engineering (MDE), a particular MDE setting of employed languages and automated and manual activities has major impact on productivity. Furthermore, it has been observed that such MDE settings evolve over time. However, currently not much is known about this evolution and its impact on the MDE setting's maturity, i.e., on changeability and other productivity dimensions. Research so far focuses on evolution of separate building blocks, such as (modeling-) languages, tools, or transformation, onl… Show more

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Cited by 3 publications
(5 citation statements)
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“…One reason, why we did not expect this extent is that we took both changes in the process, teams, and the development technologies into account. However, the expectation we had was mainly based on existing studies, which in most cases either focus on process change, eg, Diaz and Sligo, Ocampo and Münch, andKuhrmann et al, or change in the development technologies, eg, Herrmannsdoerfer et al and Hebig and Giese …”
Section: Discussionmentioning
confidence: 99%
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“…One reason, why we did not expect this extent is that we took both changes in the process, teams, and the development technologies into account. However, the expectation we had was mainly based on existing studies, which in most cases either focus on process change, eg, Diaz and Sligo, Ocampo and Münch, andKuhrmann et al, or change in the development technologies, eg, Herrmannsdoerfer et al and Hebig and Giese …”
Section: Discussionmentioning
confidence: 99%
“…Other studies address changes in languages, such as Herrmannsdoerfer et al who study typical changes in modeling languages . Finally, we studied in our own previous work evolution histories of MDE settings, ie, settings of development technologies that include models …”
Section: Related Workmentioning
confidence: 99%
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“…Difference engines may make mistakes by displaying false-negative or false-positive correspondences, as we have previously seen it in this paper and as confirmed in [41] . After the customization of difference results and for reusability goals, many works tackled the process of capturing and constructing evolution operators [42][43][44][45][46] . For instance, authors in [2] have defined a catalog of 61 reusable evolution operators (30 are atomic and 31 are composite) with the aim of treating the coupledevolution of meta-models (M2) and models (M1).…”
Section: Evolution Operatorsmentioning
confidence: 99%