Instruction-tuned LLM with candidate-constrained decoding gives useful developer shortlists (Hit@10 up to 0.753) but weak exact Top-1 on multi-year bug data.
Improving bug assignment and developer allocation in software engineering through interpretable machine learning models,
1 Pith paper cite this work, alongside 18 external citations. Polarity classification is still indexing.
1
Pith paper citing it
18
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Automated Bug Triaging using Instruction-Tuned Large Language Models
Instruction-tuned LLM with candidate-constrained decoding gives useful developer shortlists (Hit@10 up to 0.753) but weak exact Top-1 on multi-year bug data.