Amdocs and Stanford Launch Study on AI’s Impact on Code Quality and Delivery

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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.

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