Title :
Actionable knowledge model for GUI regression testing
Author :
Yin, Zunliang ; Miao, Chunyan ; Miao, Yuan ; Shen, Zhiqi
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
GUI regression testing is challenging as GUIs are changed frequently during the whole SDLC. Currently, there are no effective techniques for doing GUI regression testing. In this paper, a novel actionable knowledge model (AKM) is proposed for representing GUI test cases. The proposed model is adaptive to the change of GUIs. A multi-agent based framework that infusing AKM for GUI application regression testing is developed to facilitate test case creation, execution and repair.
Keywords :
graphical user interfaces; multi-agent systems; program testing; regression analysis; GUI regression testing; actionable knowledge model; multi-agent based framework; Application software; Automatic testing; Graphical user interfaces; Intelligent agent; Logic; Robots; Software testing; GUI regression testing; Multi-agent.; Software testing; Test case repair;
Conference_Titel :
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2416-8
DOI :
10.1109/IAT.2005.25