ORCID Identifier(s)

0000-0002-0201-8154

Graduation Semester and Year

2019

Language

English

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Computer Science and Engineering

First Advisor

Christoph Csallner

Abstract

Most current browser-based web applications and software engineering tools, such as test generators and management tools, are not accessible to users who cannot use a traditional input device, such as a mouse and/or a keyboard. To address this shortcoming, this research leverages recent speech-recognition advances to create a chrome browser extension that interprets voice inputs as web browser commands and executes those commands within the browser. As a result, the Voice Controlled Accessibility and Testing tool (VCAT) leverages the Chrome browser to achieve higher accessibility, with the capability to perform webpage navigation using voice commands. The tool is also capable of programmatically generating Java Selenium test case source code from the given set of voice commands, which helps achieve faster test case generation, compared to traditional methods of writing Java Selenium source code.

Keywords

Accessibility, Selenium Code generation, Chrome browser extension

Disciplines

Computer Sciences | Physical Sciences and Mathematics

Comments

Degree granted by The University of Texas at Arlington

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