# An empirical assessment of different word embedding and deep learning models for bug assignment

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-empirical-assessment-of-different-word-embedding-and-deep-learning-models-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rongcun Wang,Xingyu Ji,Sen-Lei Xu,Yuan Tian,Shujuan Jiang,Rubing Huang |
| Citations | 22 |
| DOI | 10.1016/j.jss.2024.111961 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4390640589 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Rubing Huang](https://scholariq.org/researchers/rubing-huang/)

## Paper primary topic

- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)

## Paper topics

- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Software Reliability and Analysis Research](https://scholariq.org/topics/software-reliability-and-analysis-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.