Abstract
As a popular Q&A site for programming, Stack Overflow is a treasure for developers. However, the amount of questions and answers on Stack Overflow make it difficult for developers to efficiently locate the information they are looking for. There are two gaps leading to poor search results: the gap between the user's intention and the textual query, and the semantic gap between the query and the post content. Therefore, developers have to constantly reformulate their queries by correcting misspelled words, adding limitations to certain programming languages or platforms, etc. As query reformulation is tedious for developers, especially for novices, we propose an automated software-specific query reformulation approach based on deep learning. With query logs provided by Stack Overflow, we construct a large-scale query reformulation corpus, including the original queries and corresponding reformulated ones. Our approach trains a Transformer model that can automatically generate candidate reformulated queries when given the user's original query. The evaluation results show that our approach outperforms five state-of-the-art baselines, and achieves a 5.6% to 33.5% boost in terms of ExactMatch and a 4.8% to 14.4% boost in terms of GLEU.
Original language | English |
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Title of host publication | Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering, ICSE 2021 |
Editors | Arie van Deursen, Tao Xie |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1273-1285 |
Number of pages | 13 |
ISBN (Electronic) | 9780738113197 |
ISBN (Print) | 9781665402965 |
DOIs | |
Publication status | Published - 2021 |
Event | International Conference on Software Engineering 2021 - Online, Madrid, Spain Duration: 25 May 2021 → 28 May 2021 Conference number: 43rd https://conf.researchr.org/committee/icse-2021/icse-2021-organizing-committe https://conf.researchr.org/home/icse-2021 https://ieeexplore.ieee.org/xpl/conhome/9401807/proceeding (Proceedings) |
Publication series
Name | Proceedings - International Conference on Software Engineering |
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Publisher | The Institute of Electrical and Electronics Engineers, Inc. |
ISSN (Print) | 0270-5257 |
ISSN (Electronic) | 1558-1225 |
Conference
Conference | International Conference on Software Engineering 2021 |
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Abbreviated title | ICSE 2021 |
Country/Territory | Spain |
City | Madrid |
Period | 25/05/21 → 28/05/21 |
Internet address |
Keywords
- Data Mining
- Deep Learning
- Query Logs
- Query Reformulation
- Stack Overflow