Mahajan, S., Abolhassani, N., McMinn, P.S. orcid.org/0000-0001-9137-7433 et al. (1 more author) (2018) Automated repair of mobile friendly problems in web pages. In: Proceedings of the 40th International Conference on Software Engineering. International Conference on Software Engineering (ICSE 2018), 27 May - 03 Jun 2018, Gothenburg, Sweden. ACM , pp. 140-150. ISBN 978-1-4503-5638-1
Abstract
Mobile devices have become a primary means of accessing the Internet. Unfortunately, many websites are not designed to be mobile friendly. This results in problems such as unreadable text, cluttered navigation, and content overflowing a device's viewport; all of which can lead to a frustrating and poor user experience. Existing techniques are limited in helping developers repair these mobile friendly problems. To address this limitation of prior work, we designed a novel automated approach for repairing mobile friendly problems in web pages. Our empirical evaluation showed that our approach was able to successfully resolve mobile friendly problems in 95% of the evaluation subjects. In a user study, participants preferred our repaired versions of the subjects and also considered the repaired pages to be more readable than the originals.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 ACM. This is an author-produced version of a paper subsequently published in Proceedings of the 40th International Conference on Software Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Mobile Friendly Problems; automated repair; web apps |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Feb 2018 12:29 |
Last Modified: | 11 Jun 2019 11:23 |
Status: | Published |
Publisher: | ACM |
Refereed: | Yes |
Identification Number: | 10.1145/3180155.3180262 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127563 |