Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Checking consistency beten an object diagram (OD) and a class diagram (CD) is an important analysis problem. Hover, several variations in the semantics of CDs and ODs, as used in different contexts and for different purposes, create a challenge for analysis tools. To address this challenge in this paper  investigate semantically configurable model analysis.  formalize the variability in the languages semantics using a feature model: each configuration that the model permits induces a different semantics. Moreover,  develop a parametrized analysis that can be instantiated to comply with every legal configuration of the feature model. Thus, the analysis is semantically configured and its results change according to the semantics induced by the selected feature configuration. The ideas are implemented using a parametrized transformation to Alloy. The work can be vied as a case study example for a formal and automated approach to handling semantic variability in modeling languages.
['Shahar Maoz', 'Jan Oliver Ringert', 'Bernhard Rumpe']
I am writing a research paper on a idea Semantically configurable consistency analysis for class and object diagrams
[{"from": "human", "value": "I am writing a research paper on a idea Semantically configurable consistency analysis for class and object diagrams"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Checking consistency beten an object diagram (OD) and a class diagram (CD) is an important analysis problem. Hover, several variations in the semantics of CDs and ODs, as used in different contexts and for different purposes, create a challenge for analysis tools. To address this challenge in this paper  investigate semantically configurable model analysis.  formalize the variability in the languages semantics using a feature model: each configuration that the model permits induces a different semantics. Moreover,  develop a parametrized analysis that can be instantiated to comply with every legal configuration of the feature model. Thus, the analysis is semantically configured and its results change according to the semantics induced by the selected feature configuration. The ideas are implemented using a parametrized transformation to Alloy. The work can be vied as a case study example for a formal and automated approach to handling semantic variability in modeling languages."}]