SkeMo: A Web Application for Real-time Sketch-based Software Modeling
| Autor: | Sharma Chapai, Alisha |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
Engineering
Computer Science 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 |
| Druh dokumentu: | Text |
| Popis: | 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. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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