Pre-trained models are added late in projects, accumulate rather than get replaced, and change three times less often than libraries, with distinct documentation driven by capability needs and testing uncertainty.
An empirical comparison of dependency network evolution in seven software packaging ecosystems,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CCCE uses a dynamic knowledge graph for impact and test analysis plus multi-stage AI gating to autonomously maintain enterprise codebases and reduce remediation time.
citing papers explorer
-
When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
Pre-trained models are added late in projects, accumulate rather than get replaced, and change three times less often than libraries, with distinct documentation driven by capability needs and testing uncertainty.
-
CCCE: A Continuous Code Calibration Engine for Autonomous Enterprise Codebase Maintenance via Knowledge Graph Traversal and Adaptive Decision Gating
CCCE uses a dynamic knowledge graph for impact and test analysis plus multi-stage AI gating to autonomously maintain enterprise codebases and reduce remediation time.