Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Model-driven engineering is the automatic production of software artefacts from abstract models of structure and functionality. By targeting a specific class of system, it is possible to automate aspects of the development process, using model transformations and code generators that encode domain knowledge and implementation strategies. Using this approach, questions of correctness for a complex, software system may be ansred through analysis of abstract models of lor complexity, under the assumption that the transformations and generators employed are themselves correct.  shows how formal techniques can be used to establish the correctness of model transformations used in the generation of software components from precise object models. The source language is based upon existing, formal techniques; the target language is the widely-used SQL notation for database programming. Correctness is established by giving comparable, relational semantics to both languages, and checking that the transformations are semantics-preserving.
['Chen-Wei Wang', 'Jim Davies']
I am writing a research paper on a idea Formal Model-Driven Engineering: Generating Data and Behavioural Components
[{"from": "human", "value": "I am writing a research paper on a idea Formal Model-Driven Engineering: Generating Data and Behavioural Components"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Model-driven engineering is the automatic production of software artefacts from abstract models of structure and functionality. By targeting a specific class of system, it is possible to automate aspects of the development process, using model transformations and code generators that encode domain knowledge and implementation strategies. Using this approach, questions of correctness for a complex, software system may be ansred through analysis of abstract models of lor complexity, under the assumption that the transformations and generators employed are themselves correct.  shows how formal techniques can be used to establish the correctness of model transformations used in the generation of software components from precise object models. The source language is based upon existing, formal techniques; the target language is the widely-used SQL notation for database programming. Correctness is established by giving comparable, relational semantics to both languages, and checking that the transformations are semantics-preserving."}]