Predicting issue types with seBERT-Reference-Cited by-同舟云学术

Predicting issue types with seBERT

Published:2022-05-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Natural Language-based Software Engineering
language:
Short-container-title:

Author:

Trautsch Alexander¹,Herbold Steffen²

Affiliation:

1. University of Goettingen, Göttingen, Germany

2. TU Clausthal, Clausthal-Zellerfeld, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3528588.3528661

Reference12 articles.

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3. On the feasibility of automated prediction of bug and non-bug issues

4. It's not a bug, it's a feature: How misclassification impacts bug prediction

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