Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models
Summary
Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models is a scholarly article[1].
Key Facts
Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-bug-assignment-and-developer-allocation-in-software-engineering-through-interpretable-machine-learning-models
MLA“Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-bug-assignment-and-developer-allocation-in-software-engineering-through-interpretable-machine-learning-models.
BibTeX@misc{4ortxyz_improving-bug-assignment-and-developer-allocation-in-software-engineering-through-interpretable-machine-learning-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models}}, year = {2026}, url = {https://4ort.xyz/entity/improving-bug-assignment-and-developer-allocation-in-software-engineering-through-interpretable-machine-learning-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models — https://4ort.xyz/entity/improving-bug-assignment-and-developer-allocation-in-software-engineering-through-interpretable-machine-learning-models (retrieved 2026-05-24)
