research-article

Automated repair of size-based inaccessibility issues in mobile applications

Authors:

Ali S. Alotaibi,

William G. J. HalfondAuthors Info & Claims

ASE '21: Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering

Pages 730 - 742

https://doi.org/10.1109/ASE51524.2021.9678625

Published: 24 June 2022 Publication History

Abstract

An increasing number of people are dependent on mobile devices to access data and complete essential tasks. For people with disabilities, mobile apps that violate accessibility guidelines can prevent them from carrying out these activities. Size-Based Inaccessibility is one of the top accessibility issues in mobile applications. These issues make apps difficult to use, especially for older people and people with motor disabilities. Existing accessibility related techniques are limited in terms of helping developers to resolve these issues. In this paper, we present our novel automated approach for repairing Size-Based Inaccessibility issues in mobile applications. Our empirical evaluation showed that our approach was able to successfully resolve 99% of the reported Size-Based Inaccessibility issues and received a high approval rating in a user study of the appearance of the repaired user interfaces.

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Cited By

Swearngin AWu JZhang XGomez ECoughenour JStukenborg RGarg BHughes GHilliard ABigham JNichols J(2024)Towards Automated Accessibility Report Generation for Mobile AppsACM Transactions on Computer-Human Interaction10.1145/367496731:4(1-44)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3674967
Chiou PWinn RAlotaibi AHalfond WRoychoudhury APaiva AAbreu RStorey M(2024)Automatically Detecting Reflow Accessibility Issues in Responsive Web PagesProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639229(1-13)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639229
Zhang MLiu HZhou YChen CHuang PZhao J(2024)Don’t Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired UsersIEEE Transactions on Software Engineering10.1109/TSE.2024.348522550:12(3351-3368)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3485225
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ASE '21: Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering

November 2021

1446 pages

ISBN:9781665403375

General Chair:
John Grundy
Monash University, Australia

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Published: 24 June 2022

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ASE '21: 36th IEEE/ACM International Conference on Automated Software Engineering

November 15 - 19, 2021

Melbourne, Australia

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Cited By

Swearngin AWu JZhang XGomez ECoughenour JStukenborg RGarg BHughes GHilliard ABigham JNichols J(2024)Towards Automated Accessibility Report Generation for Mobile AppsACM Transactions on Computer-Human Interaction10.1145/367496731:4(1-44)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3674967
Chiou PWinn RAlotaibi AHalfond WRoychoudhury APaiva AAbreu RStorey M(2024)Automatically Detecting Reflow Accessibility Issues in Responsive Web PagesProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639229(1-13)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639229
Zhang MLiu HZhou YChen CHuang PZhao J(2024)Don’t Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired UsersIEEE Transactions on Software Engineering10.1109/TSE.2024.348522550:12(3351-3368)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3485225
Zhang MLiu HChen CGao GLi HZhao J(2024)AccessFixer: Enhancing GUI Accessibility for Low Vision Users With R-GCN ModelIEEE Transactions on Software Engineering10.1109/TSE.2023.333742150:2(173-189)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TSE.2023.3337421
Zhang YChen SFan LChen CLi XChandra SBlincoe KTonella P(2023)Automated and Context-Aware Repair of Color-Related Accessibility Issues for Android AppsProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3616329(1255-1267)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3616329
Ma SChen CKhalajzadeh HGrundy J(2023)A First Look at Dark Mode in Real-world Android AppsACM Transactions on Software Engineering and Methodology10.1145/360460733:1(1-26)Online publication date: 23-Nov-2023
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Huang HXu CWen MLiu YCheung SJust RFraser G(2023)ConfFix: Repairing Configuration Compatibility Issues in Android AppsProceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis10.1145/3597926.3598074(514-525)Online publication date: 12-Jul-2023
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Islam MBillah S(2023)SpaceX MagProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962537:2(1-36)Online publication date: 12-Jun-2023
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Chiou PAlotaibi AHalfond W(2023)BAGEL: An Approach to Automatically Detect Navigation-Based Web Accessibility Barriers for Keyboard UsersProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580749(1-17)Online publication date: 19-Apr-2023
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