{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/121685"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/121685","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Bility : automated accessibility testing for mobile applications","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. 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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.","abstract_has_math":false,"creators":["Vontell, Aaron Richard."],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Lalana Kagal."],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-22T22:20:50Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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