Completion Date
Fall 12-6-2024
Document Type
Thesis
Degree Name
Master of Science (MS)
Program or Discipline Name
Project Management
First Advisor
Dr. John Clark
Abstract
This study explores the impact of Quality Assurance (QA) automation on reducing waste in Search Engine Optimization (SEO) projects within enterprise organizations. Manual QA processes often result in bugs and defects that negatively affect project quality and business outcomes. Although automated QA testing promises improved accuracy and fewer errors, its implementation and effectiveness in SEO projects have yet to be thoroughly researched. This study uses qualitative research methods, including surveys of SEO professionals, QA specialists, and project managers in enterprise organizations, to examine how automated QA testing influences the performance and outcomes of SEO projects. The results show that companies that routinely apply QA automation reduced production mistakes by 81% and the time spent on routine testing by 60 to 70%. Reallocation of resources led to better resource utilization, as manual testing effort fell from 80% to 30% of the total, enabling the teams to devote more effort to strategic planning and inventing. Two theoretical frameworks emerged from the study: the Hybrid QA Optimization Theory, which emphasizes the importance of balancing automated and manual testing, and the Scale-Dependent Automation Value Theory, which illustrates that larger and more complex websites benefit more from automation. To sum up, Q&A automation is a fruitful addition as it enhances the testing efficiency, efficiency in resource use, and quality standards of the components involved in the SEO project. These findings highlight the implications of QA automation for enterprise organizations while drawing attention to the necessity of preserving a partially automated and partial manual testing approach.
Recommended Citation
Esiri, E. (2024). The Role Of QA Automation In Eliminating Waste In Project Teams. Retrieved from https://digitalcommons.harrisburgu.edu/dandt/51
Included in
Business Administration, Management, and Operations Commons, Computer and Systems Architecture Commons, Technology and Innovation Commons