# A Survey on Bug Deduplication and Triage Methods from Multiple Points of View
## 8 Conclusions
_Knowl.-Based Syst._**2022**, _241_, 108308. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON]; [PERSON] A unified framework for bug report assignment. _Int. J. Softw. Eng. Knowl. Eng._**2019**, _29_, 607-628. [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Improving bug report triage performance using artificial intelligence based document generation model. _Hum.-Centric Comput. Inf. Sci._**2020**, _10_, 26. [CrossRef]* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Automatic duplicate bug report detection using information retrieval-based versus machine learning-based approaches. In Proceedings of the 2020 6 th International Conference on Web Research (ICWR), Tehran, Iran, 22-23 April 2020; pp. 288-293. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A survey on bug prioritization. _Artif. Intell. Rev._**2017**, _47_, 145-180. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] A survey on various techniques for bug triage. _Int. Res. J. Eng. Technol._**2015**, \(2\), 917-920. * [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] [PERSON] Methods of feature extraction for detecting the duplicate bug reports in software triage systems. In Proceedings of the International Conference on Information Technology, Communications and Telecommunications (IRICT), Tehran, Iran, 1 March 2016; Volume 2016. * [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] Survey based classification of bug triage approaches. _APTIKOM J. Comput. Sci. Inf. Technol._**2016**, \(1\), 1-11. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] Literature survey on automatic bug triaging using machine learning techniques. In _Proceedings of the AIP Conference Proceedings_; AIP Publishing LLC: Melville, NY, USA, 2022; Volume 2555, p. 020017. * [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] [PERSON] Duplicate Detection Models for Bug Reports of Software Triage Systems: A Survey. _Curr. Trends Comput. Sci. Appl._**2019**, \(1\), 128-134. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] Automated classification of software issue reports using machine learning techniques: An empirical study. _Innov. Syst. Softw. Eng._**2017**, _13_, 279-297. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] Machine learning or information retrieval techniques for bug triaging: Which is better? _e-Inform. Softw. Eng. J._**2017**, _11_, 117-141. * [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON] Automated duplicate bug report classification using subsequence matching. In Proceedings of the 2012 IEEE 14 th International Symposium on High-Assurance Systems Engineering, Omaha, NE, USA, 25-27 October 2012; pp. 74-81. * [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON]; [PERSON], [PERSON] A fusion approach for classifying duplicate problem reports. In Proceedings of the 2013 IEEE 24 th International Symposium on Software Reliability Engineering (ISSRE), Pasadena, CA, USA, 4-7 November 2013; pp. 208-217. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Detecting bug duplicate reports through local references. In Proceedings of the 7 th International Conference on Predictive Models in Software Engineering, Banff, AB, Canada, 20-21 September 2011; pp. 1-9. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Fuzzy clustering of crowdsourced test reports for apps. _ACM Trans. Internet Technol._**2018**, _18_, 1-28. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Improving automated bug triaging with specialized topic model. _IEEE Trans. Softw. Eng._**2016**, _43_, 272-297. [CrossRef]
* [PERSON] (2022) [PERSON]; [PERSON], N.K. Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging. _Knowl. Inf. Syst._**2022**, _64_, 3081-3111. [CrossRef]
* [PERSON] (2022) [PERSON]; [PERSON], N.K. Classification and intuitionistic fuzzy set based software bug triaging techniques. _J. King Saud Univ-Comput. Inf. Sci._**2022**, _34_, 6303-6323.