Deep learning the semantics of change sequences for query expansion-Reference-Cited by-同舟云学术

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Deep learning the semantics of change sequences for query expansion

Published:2019-08-22 Issue:11 Volume:49 Page:1600-1617
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw: Pract Exper

Author:

Huang Qing¹^ORCID,Yang Yang²,Cheng Ming³

Affiliation:

1. School of Computer and Information EngineeringJiangxi Normal University Nanchang China

2. School of Information and Security EngineeringZhongnan University of Economics and Law Wuhan China

3. The first Affiliated HospitalZhengzhou University Zhengzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2736

Reference27 articles.

1. LvF ZhangH LouJ WangS ZhangD ZhaoJ.CodeHow: effective code search based on API understanding and extended boolean model. In: Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE);2015;Lincoln NE.

2. Query Expansion Based on Crowd Knowledge for Code Search

3. ProkschS AmannS NadiS MeziniM.Evaluating the evaluations of code recommender systems: a reality check. In: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering;2016;Singapore.

4. WhiteM VendomeC Linares‐VásquezM PoshyvanykD.Toward deep learning software repositories. In: Proceedings of the 12th Working Conference on Mining Software Repositories;2015;Florence Italy.

5. SunX LiuX HuJ ZhuJ.Empirical studies on the NLP techniques for source code data preprocessing. In: Proceedings of the 3rd International Workshop on Evidential Assessment of Software Technologies;2014;Nanjing China.

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2. Enrich Code Search Query Semantics with Raw Descriptions;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. Survey of Code Search Based on Deep Learning;ACM Transactions on Software Engineering and Methodology;2023-12-23

4. Semantic-Enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse;ACM Transactions on Software Engineering and Methodology;2023-09-30

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