Status : Verified
| Personal Name | Lacasandile, Robert Ivan R. |
|---|---|
| Resource Title | Creation of a strategic framework for the implementation of an enterprise architecture guided AI testing engine for end to end quality assurance strategy and planning |
| Date Issued | 3 December 2025 |
| Abstract | This capstone project focuses on the creation of a framework for AI testing Engine. The framework has a goal to improve QA strategy and planning. The study resolves the issue about the fragmentation, inconsistent governance, and QA processes, specifically in the organizations that will implement AI. The Framework is grounded in the TOGAF ADM, Stage-Gate Process, and TQM tools. Aligned with the ISTQB, ISO, and PMI standards for project governance, the framework established a unified, standards-based approach for AI test Engine implementation. Qualitative and Quantitative data were collected from IT professionals to examine trends in requirements mapping. Descriptive Statistics, Thematic Analysis, Cronbach’s Alpha, and Spearman’s Rank Correlation were used to analyze the trends. Results indicate moderate familiarity with QA Methodologies, but a fragmented execution was observed in the survey trends. In addition, Cronbach’s Alpha demonstrated high internal consistency, and Spearman’s correlation was positive. While in the presence of QA tools and documentation systems, inconsistencies persist in governance, execution, and alignment. It also identifies the gaps in standardization, particularly in the inconsistent enforcement of the process and the integration of QA Tools. The proposed framework will address the issues by establishing a model for evaluating documentation practices. And will provide a sustainable and scalable foundation for implementing an AI Test engine. |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | AI release process; TOGAF; Software quality assurance; Strategic framework; AI strategic framework implementation; Software testing; Stage gate |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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Category : P - Author wishes to publish the work personally.
Access Permission : Limited Access