🔍 Google Scholar — Broad Sweep Queries for PUMA
Tool: Google Scholar (https://scholar.google.com) Phase: Phase 1 — Research Step: 01 — Literature Exploration
Prompt A — Core PUMA Discovery
"AI agents" AND "project management" after:2023
Prompt B — Multi-Agent PM
"multi-agent" AND ("software project management" OR PMO OR DevOps) after:2023
Prompt C — Benchmark Focus
(benchmark OR evaluation OR dataset) AND ("LLM agent" OR "agentic AI") AND "project management" after:2023
Prompt D — Governance and Oversight
("human-in-the-loop" OR governance OR traceability OR observability) AND ("AI agents" OR "LLM") AND "project management" after:2023
Prompt E — Reproducibility
(reproducible OR reproducibility OR "experimental protocol") AND ("project management" OR "software engineering") AND ("language model" OR agent) after:2023
Usage Notes
- Use
after:2023to enforce the 2023–2026 temporal filter. - Add
filetype:pdffor direct PDF results. - For advanced search: use
allintitle:to restrict to title-only matching.
PUMA Relevance
Google Scholar complements Semantic Scholar with broader conference paper coverage (ICSE, MSR, EASE). Especially useful for finding gray literature and technical reports from industry.