A composable DSL for describing sampling workflows on code repositories enables explicit specification and statistical reasoning about the generalizability of empirical software engineering findings.
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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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Modeling Sampling Workflows for Code Repositories
A composable DSL for describing sampling workflows on code repositories enables explicit specification and statistical reasoning about the generalizability of empirical software engineering findings.
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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.