Bility : automated accessibility testing for mobile applications
Name
1102057544-MIT.pdf
Size
14.31 MB
Format
Adobe PDF
Checksum (MD5)
f517a576f9d8ca3234b3fd6cc5facc0f
Author(s)
Vontell, Aaron Richard.
Advisor(s)
Lalana Kagal.
Alternative Title
Automated accessibility testing for mobile applications
Date Issued
2019
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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