Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94338
Title: | GUI-guided test script repair for mobile apps | Authors: | Pan, M Xu, T Pei, Y Li, Z Zhang, T Li, X |
Issue Date: | 1-Mar-2022 | Source: | IEEE transactions on software engineering, 1 Mar. 2022, v. 48, no. 3, p. 910-929 | Abstract: | Graphical User Interface (GUI) testing is widely used to test mobile apps. As mobile apps are frequently updated and need repeated testing, to reduce the test cost, their test cases are often coded as scripts to enable automated execution using test harnesses/tools. When those mobile apps evolve, many of the test scripts, however, may become broken due to changes made to the app GUIs. While it is desirable that the broken scripts get repaired, doing it manually can be preventively expensive if the number of tests need repairing is large. We propose in this paper a novel approach named Meter to repairing broken GUI test scripts automatically when mobile apps evolve. Meter leverages computer vision techniques to infer GUI changes between two versions of a mobile app and uses the inferred changes to guide the repair of GUI test scripts. Since Meter only relies on screenshots to repair GUI tests, it is applicable to apps targeting open or closed source mobile platforms. In experiments conducted on 22 Android apps and 6 iOS apps, repairs produced by Meter helped preserve 63.7 and 38.8 percent of all the test actions broken by the GUI changes, respectively. | Keywords: | Computer vision Mobile GUI testing Test script repair |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on software engineering | ISSN: | 0098-5589 | EISSN: | 1939-3520 | DOI: | 10.1109/TSE.2020.3007664 | Rights: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Pan, M., Xu, T., Pei, Y., Li, Z., Zhang, T., & Li, X. (2022). GUI-guided test script repair for mobile apps. IEEE Transactions on Software Engineering, 48(3), 910-929 is available at https://doi.org/10.1109/TSE.2020.3007664 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Pan_GUI-guided_Test_Script.pdf | Pre-Published version | 1.77 MB | Adobe PDF | View/Open |
Page views
60
Last Week
0
0
Last month
Citations as of May 5, 2024
Downloads
486
Citations as of May 5, 2024
SCOPUSTM
Citations
12
Citations as of May 3, 2024
WEB OF SCIENCETM
Citations
12
Citations as of May 2, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.