Amdocs and Stanford Launch Study on AI’s Impact on Code Quality and Delivery
Amdocs and Stanford University’s Software Engineering Productivity Research Group will collaborate to develop rigorous frameworks measuring the impact of AI tools on enterprise-scale software engineering workflows. The study will evaluate effects on code quality, delivery performance and sustainable practices using de-identified engineering data.
1. Collaboration Details
Amdocs has entered into a research partnership with Stanford University’s Software Engineering Productivity Research Group to assess how large-scale AI tool integration affects enterprise software development workflows. This collaboration grants researchers access to de-identified engineering data from Amdocs’ global operations.
2. Research Objectives
The effort aims to create and refine evidence-based frameworks that quantify the impact of generative AI on delivery performance, code quality and sustainable engineering practices. Insights are intended to inform best practices and guide future AI-driven product enhancements.
3. Methodology and Compliance
Research will proceed under Stanford University policies, ensuring academic independence and confidentiality. The study uses outcome-driven measurement methods without direct human subjects, focusing solely on de-identified workflow data.