BigBag generates reusable AST transformation rules via LLMs that achieve 78.6% fix rate on 157 breaking dependency updates and 33.3% cross-project transfer overall.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.SE 2years
2026 2verdicts
CONDITIONAL 2representative citing papers
A survey of 419 practitioners shows strong reliance on reusable GitHub Actions for core CI/CD tasks but limited adoption of reusable workflows, with copy-pasting remaining common due to versioning and trust issues.
citing papers explorer
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Agentic Generation of AST Transformation Rules for Fixing Breaking Updates
BigBag generates reusable AST transformation rules via LLMs that achieve 78.6% fix rate on 157 breaking dependency updates and 33.3% cross-project transfer overall.
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Automation and Reuse Practices in GitHub Actions Workflows: A Practitioner's Perspective
A survey of 419 practitioners shows strong reliance on reusable GitHub Actions for core CI/CD tasks but limited adoption of reusable workflows, with copy-pasting remaining common due to versioning and trust issues.