Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering

Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi


Abstract
Tracking user reported bugs requires considerable engineering effort in going through many repetitive reports and assigning them to the correct teams. This paper proposes a neural architecture that can jointly (1) detect if two bug reports are duplicates, and (2) aggregate them into latent topics. Leveraging the assumption that learning the topic of a bug is a sub-task for detecting duplicates, we design a loss function that can jointly perform both tasks but needs supervision for only duplicate classification, achieving topic clustering in an unsupervised fashion. We use a two-step attention module that uses self-attention for topic clustering and conditional attention for duplicate detection. We study the characteristics of two types of real world datasets that have been marked for duplicate bugs by engineers and by non-technical annotators. The results demonstrate that our model not only can outperform state-of-the-art methods for duplicate classification on both cases, but can also learn meaningful latent clusters without additional supervision.
Anthology ID:
N19-2020
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
157–165
Language:
URL:
https://aclanthology.org/N19-2020
DOI:
10.18653/v1/N19-2020
Bibkey:
Cite (ACL):
Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, and Pradeep Karuturi. 2019. Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers), pages 157–165, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering (Poddar et al., NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/N19-2020.pdf