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Big Code Search: A Bibliography

delete2023-08-26
delete4
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OA
AI
K
Kisub Kim
S
Sankalp Ghatpande
D
Dongsun Kim *
X
Xin Zhou
刘逵 (Kui Liu) *
T
Tegawendé F. Bissyandé
J
Jacques Klein
Y
Yves Le Traon
DOI:10.1145/3604905delete
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Abstract

Abstract

En 中文
Code search is an essential task in software development. Developers often search the internet and other code databases for necessary source code snippets to ease the development efforts. Code search techniques also help learn programming as novice programmers or students can quickly retrieve (hopefully good) examples already used in actual software projects. Given the recurrence of the code search activity in software development, there is an increasing interest in the research community. To improve the code search experience, the research community suggests many code search tools and techniques. These tools and techniques leverage several different ideas and claim a better code search performance. However, it is still challenging to illustrate a comprehensive view of the field considering that existing studies generally explore narrow and limited subsets of used components. This study aims to devise a grounded approach to understanding the procedure for code search and build an operational taxonomy capturing the critical facets of code search techniques. Additionally, we investigate evaluation methods, benchmarks, and datasets used in the field of code search.
Keywords:
Code search
code recommendation
code retrieval
find code
code snippet
code search procedure

Journal

ACM Computing Surveys cover
ACM Computing Surveys
IF:
28
Papers:
2.4K
Citations:
3.5W

Organization

S
Singapore Management University
Scholars:
1.5K
Papers: 2.5K
Citations: 3.5K
K
kyungpook national university (knu)
Scholars:
1.8W
Papers: 1.8W
Citations: 14
U
university of luxembourg
Scholars:
5.2K
Papers: 4.7K
Citations: 4
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