Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
@article{Cao2021AutomatedQR, title={Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow}, author={Kaibo Cao and C. Chen and Sebastian Baltes and Christoph Treude and Xiao-yang Chen}, journal={ArXiv}, year={2021}, volume={abs/2102.00826} }
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… Expand
Figures and Tables from this paper
One Citation
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help
- Computer Science
- ArXiv
- 2020
- 20
- PDF
References
SHOWING 1-10 OF 81 REFERENCES
Effective Reformulation of Query for Code Search Using Crowdsourced Knowledge and Extra-Large Data Analytics
- Computer Science
- 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)
- 2018
- 19
- PDF
Automatic query reformulation for code search using crowdsourced knowledge
- Computer Science
- Empirical Software Engineering
- 2019
- 12
- PDF
Query reformulation by leveraging crowd wisdom for scenario-based software search
- Computer Science
- Internetware
- 2016
- 14
- PDF
Query Expansion Based on Crowd Knowledge for Code Search
- Computer Science
- IEEE Transactions on Services Computing
- 2016
- 64
- PDF
Analyzing and evaluating query reformulation strategies in web search logs
- Computer Science
- CIKM
- 2009
- 251
- PDF
Improved query reformulation for concept location using CodeRank and document structures
- Computer Science
- 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)
- 2017
- 11
- PDF
Assisting code search with automatic Query Reformulation for bug localization
- Computer Science
- 2013 10th Working Conference on Mining Software Repositories (MSR)
- 2013
- 57
- PDF
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context
- Computer Science
- TOIS
- 2015
- 39
- PDF
Automatic query reformulations for text retrieval in software engineering
- Computer Science
- 2013 35th International Conference on Software Engineering (ICSE)
- 2013
- 170
- PDF