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Intuitive Model Transformations: A Guided Framework for Structural Modeling

DiGennaro, Nicholas John
http://orcid.org/0000-0002-5857-650X
http://rave.ohiolink.edu/etdc/view?acc_num=miami1618913067752324

Abstract Details

2021, Master of Science, Miami University, Computer Science and Software Engineering.
As research in Model-Driven Software Engineering (MDSE) continues to innovate the software engineering process, a gap has been created between its potential benefit and actual use. This gap exists due to MDSE education being held back by tools that are not well-suited for learning and use by beginners. To teach new developers MDSE concepts before moving into industrial tools, MDSE educators need a lightweight, model-first, end-to-end teaching tool. The Instructional Modeling Language (IML) is proposed as a solution to fit these needs. This thesis implements for the IML Framework one of the foundational aspects of MDSE: Model Transformations. The ability to apply model transformations to large collections of models contributes to software reuse, allowing developers to dedicate efforts elsewhere. Furthermore, the early work of conceptually modeling systems has a larger payoff as a result of model transformations being used in the code generation process. These benefits are some of the most influential factors for adopting MDSE and must be properly emphasized in education. Model transformations in IML provide students with a guided experience and clear explanations of the model transformation processes. In turn, students are provided with a solid foundation in MDSE and its benefits.
Eric Rapos, PhD (Advisor)
Matthew Stephan, PhD (Committee Member)
Hakam Alomari, PhD (Committee Member)
103 p.
Computer Science
model driven software engineering; model transformations; code generation; modeling; domain specific modeling language

Recommended Citations

Citations

  • DiGennaro, N. J. (2021). Intuitive Model Transformations: A Guided Framework for Structural Modeling [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1618913067752324

    APA Style (7th edition)

  • DiGennaro, Nicholas. Intuitive Model Transformations: A Guided Framework for Structural Modeling. 2021. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1618913067752324.

    MLA Style (8th edition)

  • DiGennaro, Nicholas. "Intuitive Model Transformations: A Guided Framework for Structural Modeling." Master's thesis, Miami University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1618913067752324

    Chicago Manual of Style (17th edition)

miami1618913067752324
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© 2021, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.