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Author:

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

Indexed by:

EI Scopus SCIE

Abstract:

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.

Keyword:

static analysis Empirical study program analysis lexical similarity identifier argument

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

IEEE ACCESS

ISSN: 2169-3536

Year: 2018

Volume: 6

Page: 58461-58481

3 . 9 0 0

JCR@2022

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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