Date of Award
1-2017
Culminating Project Type
Starred Paper
Degree Name
Engineering: M.E.M
Department
Mechanical and Manufacturing Engineering
College
College of Science and Engineering
First Advisor
Ben Baliga
Second Advisor
Hiral Shah
Third Advisor
Balasubramanian Kasi
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Abstract
The current business application is large, multi-tired, distributed and integrated which require higher level of sophistication to implement and manage. The current quality methodologies rely on manual work which makes the application venerable due to its limitation and entails higher cost. Running complete regression suite manually every time is cumbersome and often do not complete due to either time or resource limitation. Finding more defects during testing life cycle has tremendous effect on the quality of an application. This project is intended to run more number of tests in lesser time and reduction in overall cost of the project and this has been achieved by implementing an automation tool. Various tools and frameworks are studied to fulfill this requirement, also the results are stated and compared. The implication of implementing an automation test tool is higher software quality assurance.
Recommended Citation
Sharma, Ankit, "Optimizing Software Quality through Automation Testing" (2017). Culminating Projects in Mechanical and Manufacturing Engineering. 65.
https://repository.stcloudstate.edu/mme_etds/65
