In collaborative software development the utilization
of Version Control Systems (VCSs) is a must. For
this important task some graph-based VCSs for model
artifacts already emerged. Optimistic approaches,
which are nowadays the designated ones, allow parallel
editing of one resource and therefore changes can
result in conflicts and inconsistencies. To be flexible
for the ever increasing variety of modeling environments
and languages VCSs should be independent
of the modeling environment and applicable on any
modeling language. Those VCS characteristics implicate
a lack of information for the conflict detection
method by virtue of firstly receiving solely the state
of an artifact without concrete editing operations and
secondly due to unavailable knowledge about the semantics
of a modeling language. In such VCSs inconsistencies
would even arise more often. Hence, accurate
conflict detection methods are indispensable for
the realization of optimistic, environment and language
independent VCSs. This can be achieved by
providing some understanding about the models's semantics
which is possible by specifying machine interpretable
formal semantics. Therefore, in this work, a
comparison of two semantically enhanced conflict detection
approaches is presented with respect to their
suitability for the integration in an optimistic, environment
and language independent VCS for model
artifacts to achieve more accurate conflict reports. |
| Cite as: Altmanninger, K. and Kotsis, G. (2009). Towards Accurate Conflict Detection in a VCS for Model Artifacts: A Comparison of Two Semantically Enhanced Approaches. In Proc. Sixth Asia-Pacific Conference on Conceptual Modelling (APCCM 2009), Wellington, New Zealand. CRPIT, 96. Kirchberg, M. and Link, S., Eds. ACS. 139-146. |
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