End-to-End Automated UI Testing Workflow for Web Sites with Intensive User–System Interactions.

Bibliographic Details
Title: End-to-End Automated UI Testing Workflow for Web Sites with Intensive User–System Interactions.
Authors: Oguz, Ramazan Faruk1 (AUTHOR) faruk.oguz@std.yildiz.edu.tr, Erdem, Izzettin1 (AUTHOR) izzettin.erdem@std.yildiz.edu.tr, Olmezogullari, Erdi2 (AUTHOR) erdi.olmezogullari@ozu.edu.tr, Aktas, Mehmet S.1 (AUTHOR) aktas@yildiz.edu.tr
Source: International Journal of Software Engineering & Knowledge Engineering. Oct2022, Vol. 32 Issue 10, p1477-1497. 21p.
Subject Terms: *Websites, *User interfaces, *Workflow, *Customer satisfaction, Satisfaction
Abstract: The user interface (UI) is the software component with which the end users interact the most in the mobile and web world today. Therefore, when evaluating end-user satisfaction with a software, besides the functional features, the possibilities provided by the UIs are significant. End-user interfaces offer several capabilities today, necessitating a complex structure. Examples include interfaces developed in technologies such as Google Flutter and React. Therefore, we foresee a need for UI testing business workflows allowing comprehensive testing of UIs to improve customer satisfaction. Within the scope of this research, we propose an end-to-end approached automated UI testing business workflow for testing UI components on websites with intense user actions. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Software Engineering & Knowledge Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Business Source Complete
More Details
ISSN:02181940
DOI:10.1142/S0218194022500541
Published in:International Journal of Software Engineering & Knowledge Engineering
Language:English