A Dataset of EMF Models from Eclipse Projects
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Date
2018-09-17
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Forschungsdaten
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Abstract
Models are key artefacts in Model-driven software engineering.
Data sets of models from practice are highly valuable as input for different modelling research areas,
e.g., performance benchmarks for modelling tools and
analysing model transformations,
as well as in empirical research,
e.g., understanding how models are designed and evolve over time.
Unfortunately, there is a lack of data sets containing models,
their meta models,
and their evolution history.
We present such a data set and
describe our data collection method.
The Eclipse modeling framework (EMF) is the major framework for
developing and using EMF models providing a rich ecosystem
developing many models and meta models.
Thus, we mined meta models and their instances from git repositories associated with Eclipse projects
(https://www.eclipse.org/projects/, accessed 2018-05-25),
including their version history.
Our data set was created on 2018-05-25
and contains 31799 models of which 4732 are meta models
with a total of 101267 versions.
These were mined from 247 repositories belonging to 130 projects hosted on Eclipse Projects.
Description
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Softwaretechnik und Programmiersprachen
Citation
DFG Project uulm
License
CC BY 4.0 International
Keywords
model driven software engineering, model mining, model evolution, EMF, Data Mining, Software Engineering, Data mining, Model-driven software architecture, Model-integrated computing, Eclipse (Electronic resource), Computer software; Development, DDC 004 / Data processing & computer science