A real-world case study for automated ticket team assignment using natural language processing and explainable models

Author:

Pavelski Lucas Marcondes1ORCID,Braga Rodrigo de Souza1ORCID

Affiliation:

1. Retail Management System, Sidia R&D Institute, Brazil

Funder

Samsung

Publisher

ACM

Reference24 articles.

1. Who should fix this bug?

2. Multi-triage: A multi-task learning framework for bug triage

3. Leo Breiman . 2001. Random forests. Machine learning 45, 1 ( 2001 ), 5–32. Leo Breiman. 2001. Random forests. Machine learning 45, 1 (2001), 5–32.

4. Tianqi Chen , Tong He , Michael Benesty , Vadim Khotilovich , Yuan Tang , Hyunsu Cho , Kailong Chen , 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 ( 2015 ), 1–4. Tianqi Chen, Tong He, Michael Benesty, Vadim Khotilovich, Yuan Tang, Hyunsu Cho, Kailong Chen, 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 (2015), 1–4.

5. WhoReview: A multi-objective search-based approach for code reviewers recommendation in modern code review

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