DocumentCode :
123279
Title :
Using artificial intelligence to automatically test GUI
Author :
Rauf, Abdul Mannan ; Alanazi, Mohammad N.
Author_Institution :
Coll. of Comput. & Inf. Sci., Al-Imam Mohammad Ibn Saud Islamic Univ., Riyadh, Saudi Arabia
fYear :
2014
fDate :
22-24 Aug. 2014
Firstpage :
3
Lastpage :
5
Abstract :
This position paper presents a synopsis of the imperative function artificial intelligence (AI) has partaken in software engineering (SE) as well as in software testing. In addition, the paper discusses how graphical user interface (GUI), and event driven software testing can derive benefits from the use of AI techniques. Artificial intelligence has significantly aided the process of the automation of different software process. The employment of AI in software testing is not novel, having played a crucial role in the automation of software testing since its innovation. The usage of AI techniques not only reduces the cost but it also guarantees better quality as well as thorough testing. GUI Testing can be considered as the most challenging area of software testing. Although the results are quite preliminary, but the application of different AI techniques for GUI testing has proven to produce ideal results. Nevertheless, the application of AI techniques in GUI testing, in comparison with software testing, which has procured much assistance by venturing with AI, leaves much to be desired.
Keywords :
artificial intelligence; graphical user interfaces; program testing; software engineering; AI; GUI automatic testing; SE; event driven software testing; graphical user interface; imperative function artificial intelligence; software engineering; Analytical models; Artificial intelligence; Computers; Graphical user interfaces; Hardware; Software; Testing; Artificial Intelligence; Automated Testing; Evolutionary testing; GUI Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
Type :
conf
DOI :
10.1109/ICCSE.2014.6926420
Filename :
6926420
Link To Document :
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