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Home > Archive>Volume 30, Issue 12, 2019 >3714-3729. DOI:10.13328/j.cnki.jos.005609
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Software Text Semantic Search Approach Based on Code Structure Knowledge
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TP311

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National Key Research and Development Program (2016YFB1000801); National Science Fund for Distinguished Young Scholars (61525201)

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    Abstract:

    Natural language text is a common form of knowledge representation in various software artifacts. During the practice of software reuse, software developers usually need to search the large amount of textual resource. This paper presents a software text semantic search approach based on code structure knowledge. This approach extracts a code structure graph from software source code and leverages it as a domain-specific knowledge base to analyze the semantic meanings of natural language texts. The semantic information is combined with information retrieval technology to re-rank text search results semantically. Experimental results on StackOverflow dataset show that this approach achieves at least 13.77% improvement in mean average precision (MAP) comparing to several text retrieval approaches.

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林泽琦,邹艳珍,赵俊峰,曹英魁,谢冰.基于代码结构知识的软件文档语义搜索方法.软件学报,2019,30(12):3714-3729

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History
  • Received:October 09,2017
  • Revised:May 07,2018
  • Online: December 05,2019
Links:Institute of Software, CASChina Computer FederationCASNSFC
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