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LocalLLM-DataForge: A Modular Framework for Synthetic User Story Decomposition with Local LLMs and LLM-as-a-Judge Evaluation

2026-05-22

Abstract excerpt

<title>Abstract</title> <p>User story decomposition into development tasks is a common practice in agile projects that depends highly on human judgment. Attempts to automate this activity using machine learning techniques often face two recurring limitations: the scarcity of annotated datasets and the reliance on cloud-based language models. This work presents LocalLLM-DataForge, a modular DataFrame-based framewo...

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Literature Corpus work
d5f2d3a0-cfad-5042-a16a-5a3fd0c6d69a
DOI
10.21203/rs.3.rs-9582446/v1
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LocalLLM-DataForge: A Modular Framework for Synthetic User Story Decomposition with Local LLMs and LLM-as-a-Judge EvaluationDOI 10.21203/rs.3.rs-9582446/v1
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