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SkeMo: A Web Application for Real-time Sketch-based Software Modeling

Sharma Chapai, Alisha
http://orcid.org/0009-0002-7671-9700
http://rave.ohiolink.edu/etdc/view?acc_num=miami1689767300948843

Abstract Details

2023, Master of Science, Miami University, Computer Science and Software Engineering.
Software models are used to analyze and understand the properties of the system, providing stakeholders with an overview of how the system should work before actually implementing it. Such models are usually created informally, such as drawing sketches on a whiteboard or paper, especially during the early design phase, because these methods foster communication and collaboration among stakeholders. However, these informal sketches must be formalized to be useful in later applications, such as analysis, code generation, and documentation. This formalization process is often tedious, error-prone, and time-consuming. In an effort to avoid recreating formal models from scratch, this thesis presents SkeMo, a sketch-based software modeling tool. SkeMo is built on a CNN-based image classifier using 3000 input sketches of class diagram components and integrated into the functionality of an existing web-based model editor, the Instructional Modeling Language (IML), with a newly implemented touch interface. SkeMo was evaluated using a ten-fold cross-validation to assess the image classifier and through a user study involving 20 participants to collect metrics and feedback. The results demonstrate the promising potential of sketch-based modeling as an intuitive and efficient modeling practice, allowing users to quickly and easily create models to design complex software systems.
Eric Rapos (Advisor)
Christopher Vendome (Committee Member)
Xianglong Feng (Committee Member)
Douglas Troy (Committee Member)
79 p.
Computer Science; Engineering
model-driven software engineering; machine learning; convolution neural network; image recognition; sketch recognition; class diagrams; classifiers; interface design; touch interface; collaborative modeling, user studies, artificial intelligence, software modeling; MDSE; UML; IML; modeling tool; informal sketching; formal modeling; modeling tool

Recommended Citations

Citations

  • Sharma Chapai, A. (2023). SkeMo: A Web Application for Real-time Sketch-based Software Modeling [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1689767300948843

    APA Style (7th edition)

  • Sharma Chapai, Alisha. SkeMo: A Web Application for Real-time Sketch-based Software Modeling. 2023. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1689767300948843.

    MLA Style (8th edition)

  • Sharma Chapai, Alisha. "SkeMo: A Web Application for Real-time Sketch-based Software Modeling." Master's thesis, Miami University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=miami1689767300948843

    Chicago Manual of Style (17th edition)

miami1689767300948843
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© 2023, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.