Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
---|---|---|
Article Number | 03012 | |
Number of page(s) | 5 | |
Section | Session 3: Computer | |
DOI | https://doi.org/10.1051/itmconf/20171203012 | |
Published online | 05 September 2017 |
Design and Achievement of User Interface Automation Testing of Linux Based on Element Tree of DogTail
1 College of Computer Science and Technology, Shan Dong Agricultural University, Tan’an 271000
2 Red Hat Software(Beijing)Co., R&D Branch, Beijing 100190
a Corresponding author:yuanwenchao1@163.com
As Linux gets more popular around the world, the advantage of the open source on software makes people do automated UI test by unified testing framework. UI software testing can guarantee the rationality of User Interface of Linux and accuracy of the UI’s widgets. In order to set free from fuzzy and repeated manual testing, and improve efficiency, this paper achieves automation testing of UI under Linux, and proposes a method to identify and test UI widgets under Linux, which is according to element tree of DogTail automaton testing framework. It achieves automation test of UI under Linux. According to this method, Aiming at the product of Red Hat Subscription Manager under Red Hat Enterprise Linux, it designs the automation test plan of this series of product’s dialogs. After many tests, it is indicated that this plan can identify UI widgets accurately and rationally, describe the structure of software clearly, avoid software errors and improve efficiency of the software. Simultaneously, it also can be used in the internationalization testing for checking translation during software internationalization.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.