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Speech-To-Model: A Framework for Creating Software Models Using Voice Commands

Bhandari, Nabin
http://orcid.org/0009-0008-8711-3214
http://rave.ohiolink.edu/etdc/view?acc_num=miami1689766818522279

Abstract Details

2023, Master of Science, Miami University, Computer Science and Software Engineering.
Traditionally, software modeling has relied on conventional input devices such as keyboards and mice. However, as new interaction methods become more popular, development environments must adapt to these evolving needs. Moreover, nontraditional interfaces offer the potential for improved accessibility. This thesis introduces an innovative framework for intelligent voice-driven software modeling. The framework leverages advanced technologies, including speech-to-text conversion, natural language processing, and domain-specific input commands. By combining these elements, this research presents a powerful and intuitive system that allows users to create software models through voice commands. The framework's effectiveness has been evaluated primarily via two different user studies and secondarily using cross-validation to evaluate trained machine learning models. The evaluation of the final implementation of the framework resulted in an average command accuracy of 79.4% and an average overall rating of 7.85 out of 10 from the participants. Overall, this study demonstrates the viability and potential of voice commands as an effective interface for software modeling. By embracing voice-driven interactions, this thesis aims to improve accessibility, user experience, and overall efficiency in software engineering.
Eric Rapos (Advisor)
Christopher Vendome (Committee Member)
Xianglong Feng (Committee Member)
72 p.
Computer Science; Engineering
Voice-driven Software Modeling; VDSM; UML; IML; Natural Language Understanding; NLU; Natural Language Processing; NLP; Voice commands; Rasa; Regular Expression; Regex; Voice-driven Modeling; VDM; MDSE, Model-Driven Software Engineering, AI, Artificial Intelligence, ML, Machine Learning, Neural Networks, Transformers, DIET, Software Modeling

Recommended Citations

Citations

  • Bhandari, N. (2023). Speech-To-Model: A Framework for Creating Software Models Using Voice Commands [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1689766818522279

    APA Style (7th edition)

  • Bhandari, Nabin. Speech-To-Model: A Framework for Creating Software Models Using Voice Commands. 2023. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1689766818522279.

    MLA Style (8th edition)

  • Bhandari, Nabin. "Speech-To-Model: A Framework for Creating Software Models Using Voice Commands." Master's thesis, Miami University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=miami1689766818522279

    Chicago Manual of Style (17th edition)

miami1689766818522279
142
© 2023, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.