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Keyword-guided abstractive code summarization via incorporating structural and contextual information

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成果类型:
期刊论文
作者:
Cheng, Wuyan;Hu, Po;Wei, Shaozhi;Mo, Ran
通讯作者:
Po Hu<&wdkj&>Ran Mo
作者机构:
[Hu, Po; Wei, Shaozhi; Cheng, Wuyan; Mo, Ran] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
[Hu, Po; Mo, Ran] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan, Hubei, Peoples R China.
[Hu, Po] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, Wuhan, Hubei, Peoples R China.
通讯机构:
[Po Hu; Ran Mo] H
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, Hubei, China<&wdkj&>School of Computer, Central China Normal University, Wuhan, Hubei, China<&wdkj&>National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan, Hubei, China<&wdkj&>Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, Hubei, China<&wdkj&>School of Computer, Central China Normal University, Wuhan, Hubei, China
语种:
英文
关键词:
Source code summarization;Encoder-decoder;Information incorporation;Dynamic vocabulary;Deep learning
期刊:
Information and Software Technology
ISSN:
0950-5849
年:
2022
卷:
150
页码:
106987
基金类别:
Thirteen Five-year Research Planning Project of National Language Committee [YB135-149]; National Natural Science Foundation of China [62002129]; Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU20ZT012, CCNU20TD001]
机构署名:
本校为第一机构
院系归属:
计算机学院
摘要:
Context: Source code summarization is a crucial yet far from settled task for describing structured code snippets in natural language. High-quality code summaries could effectively facilitate program comprehension and software maintenance. A good code summary is supposed to have the following characteristics: complete information, correct meaning, and consistent description. In recent years, numerous approaches have been proposed for code summarization, but it is still very challenging for developers to automatically learn the complex semantics...

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