Date of Award
Winter 12-2016
Document Type
Thesis
Degree Name
Master of Science in Information Systems (MSIS)
First Advisor
Cherie Noteboom
Second Advisor
Ronghua Shan
Third Advisor
Christopher Olson
Abstract
The development of increasingly-complex Web 2.0 applications, along with a rise in end-user expectations, have not only made the testing and quality assurance processes of web application development an increasingly-important part of the SDLC, but have also made these processes more complex and resource-intensive. One way to effectively test these applications is by implementing an automated testing solution along with manual testing, as automation solutions have been shown to increase the total amount of testing that can be performed, and help testing team achieve consistency in their testing efforts. The difficulty, though, lies in how to best go about developing such a solution.
The use of a framework is shown to help, by decreasing the amount of duplicate code and maintenance required, and increasing the amount of separation among the various elements of the testing solution. This research examines the use of the UML Testing Profile (UTP), including the use of UML diagrams, in the creation of such a framework. Using an Action Design Research methodology, a framework is developed for an automated testing solution that utilizes the Selenium Webdriver with a data-driven methodology, used in an organizational context, and evaluated, over the course of multiple iterations. Design principles, including the use of a test architecture and test context, the use of UML diagrams for the creation of Page Objects, and the identification and implementation of workflows are distilled from these iterations, and their impact on the larger context, the delivery of a robust application that meets end-user expectations, is examined.
Recommended Citation
Hearn, James Edward, "The Development of an Automated Testing Framework for Data-Driven Testing Utilizing the UML Testing Profile" (2016). Masters Theses & Doctoral Dissertations. 320.
https://scholar.dsu.edu/theses/320