A multi-agent system automates checks on replication package quality using 31 machine-verifiable criteria derived from 34 sources, showing 91.4% inter-run consistency and 75.4% agreement with manual review on five packages.
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CoCoMUT is a reusable pipeline that discovers project structure, constructs call graphs, extracts source, reconciles bytecode to source, and emits versioned JSON datasets of method contexts, demonstrated on 20 Java repositories with 97.8% reconciliation and 99% audit accuracy.
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An Agentic Approach Towards Replication Package Quality Evaluation
A multi-agent system automates checks on replication package quality using 31 machine-verifiable criteria derived from 34 sources, showing 91.4% inter-run consistency and 75.4% agreement with manual review on five packages.
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CoCoMUT: A Tool for Code-Context Mining and Automated Dataset Generation
CoCoMUT is a reusable pipeline that discovers project structure, constructs call graphs, extracts source, reconciles bytecode to source, and emits versioned JSON datasets of method contexts, demonstrated on 20 Java repositories with 97.8% reconciliation and 99% audit accuracy.