| dc.contributor.advisor | Lalana Kagal. | en_US |
| dc.contributor.author | Vontell, Aaron Richard. | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2019-07-15T20:33:58Z | |
| dc.date.available | 2019-07-15T20:33:58Z | |
| dc.date.copyright | 2019 | en_US |
| dc.date.issued | 2019 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1721.1/121685 | |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 97-99). | en_US |
| dc.description.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. | en_US |
| dc.description.statementofresponsibility | by Aaron Richard Vontell. | en_US |
| dc.format.extent | 99 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Bility : automated accessibility testing for mobile applications | en_US |
| dc.title.alternative | Automated accessibility testing for mobile applications | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.identifier.oclc | 1102057544 | en_US |
| dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
| dspace.imported | 2019-07-15T20:33:55Z | en_US |
| mit.thesis.degree | Master | en_US |
| mit.thesis.department | EECS | en_US |