Daniel L. Davis Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Daniel L. Davis's research investigates the intersection of software engineering principles and architectural practices, focusing on flexible parametric models. His recent work explores the application of large language models (LLMs) in software engineering, specifically for automatic prompt generation in requirements validation and for classifying functional and nonfunctional requirements. Davis has published 26 works with 224 citations and an h-index of 7. He collaborates with Mariofanna Milanova at the University of Arkansas at Little Rock, with whom he shares two publications.
Metrics
- h-index: 7
- Publications: 26
- Citations: 224
Selected Publications
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Parsing Requirements for Automatic Prompting of Large Language Models for Requirements Validation (2025)
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Large Language Models for Classification of Functional and Nonfunctional Requirements (2025)
Collaboration Network
Top Collaborators
- Large Language Models for Classification of Functional and Nonfunctional Requirements
- Parsing Requirements for Automatic Prompting of Large Language Models for Requirements Validation
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