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作者:

Li, Guangjie (Li, Guangjie.) | Liu, Hui (Liu, Hui.) | Liu, Qiurong (Liu, Qiurong.) | Wu, Yuting (Wu, Yuting.) (学者:吴玉庭)

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EI Scopus SCIE

摘要:

Identifiers chosen by programmers convey rich semantic information that could be exploited to enhance program analysis for various software engineering tasks, e.g., anomaly detection, argument recommendation, and code completion. However, such information has not yet been fully exploited, and little is known about its properties. In this paper, we carry out an empirical study to investigate the lexical similarity between the actual argument and the formal parameter names in method invocations. By analyzing actual arguments and formal parameters from 127 Java applications and 30 open-source C applications, we observe a number of interesting and valuable findings concerning the distribution of similarity, reasons for dissimilarity, and so on. Such findings have been exploited to facilitate argument-related software engineering tasks, i.e., anomaly detection and code completion.

关键词:

argument Empirical study identifier lexical similarity program analysis static analysis

作者机构:

  • [ 1 ] [Li, Guangjie]Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
  • [ 2 ] [Liu, Hui]Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
  • [ 3 ] [Liu, Qiurong]Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
  • [ 4 ] [Wu, Yuting]Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
  • [ 5 ] [Li, Guangjie]Beijing Univ Technol, Sch Engn, Gengdan Inst, Beijing 101301, Peoples R China
  • [ 6 ] [Wu, Yuting]Qinghai Univ, Dept Comp Technol & Applicat, Xining 810016, Qinghai, Peoples R China

通讯作者信息:

  • [Liu, Hui]Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China

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来源 :

IEEE ACCESS

ISSN: 2169-3536

年份: 2018

卷: 6

页码: 58461-58481

3 . 9 0 0

JCR@2022

JCR分区:1

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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