Bility : automated accessibility testing for mobile applications

This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.

Bibliographic Details
Main Author: Vontell, Aaron Richard.
Other Authors: Lalana Kagal.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:https://hdl.handle.net/1721.1/121685
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author Vontell, Aaron Richard.
author2 Lalana Kagal.
author_facet Lalana Kagal.
Vontell, Aaron Richard.
author_sort Vontell, Aaron Richard.
collection MIT
description This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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institution Massachusetts Institute of Technology
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spelling mit-1721.1/1216852019-08-07T03:03:15Z Bility : automated accessibility testing for mobile applications Automated accessibility testing for mobile applications Vontell, Aaron Richard. Lalana Kagal. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 97-99). In this thesis, I designed and implemented a testing framework, called Bility, to assess the accessibility of mobile applications. Implemented in Java and Kotlin, this framework automatically navigates through an application, finding both dynamic and static accessibility issues. I developed techniques for unique view detection, automatically building a representation of the dynamic behavior of an application, and making navigation decisions based on application state and history in order to find these accessibility issues. I compared Bility's ability to detect issues against existing tools such as the Google Accessibility Scanner. I found that Bility performs significantly better and is able to detect additional static issues, as well as discover dynamic accessibility issues that current tools do not detect. by Aaron Richard Vontell. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2019-07-15T20:33:58Z 2019-07-15T20:33:58Z 2019 2019 Thesis https://hdl.handle.net/1721.1/121685 1102057544 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 99 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Vontell, Aaron Richard.
Bility : automated accessibility testing for mobile applications
title Bility : automated accessibility testing for mobile applications
title_full Bility : automated accessibility testing for mobile applications
title_fullStr Bility : automated accessibility testing for mobile applications
title_full_unstemmed Bility : automated accessibility testing for mobile applications
title_short Bility : automated accessibility testing for mobile applications
title_sort bility automated accessibility testing for mobile applications
topic Electrical Engineering and Computer Science.
url https://hdl.handle.net/1721.1/121685
work_keys_str_mv AT vontellaaronrichard bilityautomatedaccessibilitytestingformobileapplications
AT vontellaaronrichard automatedaccessibilitytestingformobileapplications