An Interim Summary on Semantic Model Differencing
Shahar Maoz, Jan Oliver Ringert, Bernhard Rumpe
TL;DR
This paper summarizes ongoing research on semantic model differencing, highlighting current progress, examples, and future challenges in applying these techniques to software evolution.
Contribution
It provides an overview of semantic model differencing and discusses future research directions and challenges in this area.
Findings
Presented two recent examples of semantic model differencing
Outlined current state and progress in the research
Discussed future challenges and potential of semantic differencing
Abstract
This position paper provides an interim summary on the goals and current state of our ongoing research project on semantic model differencing for software evolution. We describe the basics of semantic model differencing, give two examples from our recent work, and discuss future challenges in taking full advantage of the potential of semantic differencing techniques in the context of models' evolution.
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