Towards Word Embeddings for Improved Duplicate Bug Report Retrieval in Software Repositories-Reference-Cited by-同舟云学术

Towards Word Embeddings for Improved Duplicate Bug Report Retrieval in Software Repositories

Published:2018-09-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval
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Author:

Budhiraja Amar¹,Dutta Kartik¹,Shrivastava Manish¹,Reddy Raghu¹

Affiliation:

1. IIIT-Hyderabad, Hyderabad, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3234944.3234949

Reference11 articles.

1. Anahita Alipour et al. 2013. A contextual approach towards more accurate duplicate bug report detection. In MSR. Anahita Alipour et al. 2013. A contextual approach towards more accurate duplicate bug report detection. In MSR.

2. David M Blei et al. 2003. Latent dirichlet allocation. JMLR (2003). David M Blei et al. 2003. Latent dirichlet allocation. JMLR (2003).

3. Piotr Bojanowski et al. 2016. Enriching Word Vectors with Subword Information. arXiv preprint arXiv:1607.04606 (2016). Piotr Bojanowski et al. 2016. Enriching Word Vectors with Subword Information. arXiv preprint arXiv:1607.04606 (2016).

4. Lyndon Hiew. 2006. Assisted detection of duplicate bug reports. Ph.D. Dissertation. University of British Columbia. Lyndon Hiew. 2006. Assisted detection of duplicate bug reports. Ph.D. Dissertation. University of British Columbia.

5. Alina Lazar et al. 2014. Generating duplicate bug datasets. In MSR. 10.1145/2597073.2597128 Alina Lazar et al. 2014. Generating duplicate bug datasets. In MSR. 10.1145/2597073.2597128

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