.png){kind=icon}
返回
GUI-Guided Test Script Repair for Mobile Apps
.png){kind=icon}
OA
AI
DOI：10.1109/TSE.2020.3007664.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Meters
Graphical user interfaces
Mobile applications
Maintenance engineering
Testing
Tools
Computer vision
Mobile GUI testing
test script repair
computer vision
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.6
论文数:
2.9K
被引数:
1.1W
机构
引用论文
分享收藏Identification of key regulators of pancreatic ductal adenocarcinoma using bioinformatics analysis of microarray data.png)
MedicineOAAI
MedicineIF0
OAAI分享收藏
Kriging and Splines: An Empirical Comparison of their Predictive Performance in Some Applications
PREAI
分享收藏
查看更多内容