Detecting inconsistent names of source code using NLP

Sungnam Lee; Suntae Kim; Jeongah Kim; Sooyoung Park

doi:10.1007/978-3-642-35603-2_17

Detecting inconsistent names of source code using NLP

Sungnam Lee
, Suntae Kim^*
, Jeongah Kim
, Sooyoung Park

^*Corresponding author for this work

Department of Software Engineering

Defense Acquisition Program Administration
Kangwon National University
Kwandong University
Sogang University

Research output: Contribution to conference › Conference paper › peer-review

2 Scopus citations

Abstract

Software developers use refactoring in order to improve quality of source code. Refactoring is a disciplined technique for restructuring an existing body of code without changing its external behavior[3]. For example, 'Extract method' is the one of the refactoring approaches to improving readability of the large-scale method by splitting them into several small-scale methods. In refactoring, code smell indicates any symptom in the source code that possibly causes a deeper problem. Although inconsistent names of source code elements as one of the code smells are crucial, it is hardly achieved by going through the whole source code. Furthermore, it generally can be handled by several developers that understand the source code and also is easy to pass without checking because it does not affect software execution.

Original language	English
Title of host publication	Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc.
Pages	111-115
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-642-35603-2_17
State	Published - 2012
Event	2012 Conference on EL 2012, the 2012 Int. Conference on DTA 2012, and the 2012 International Conference on u- and e- Service, Science and Technology, UNESST 2012, Held as Part of the Future Generation Information Technology Conference, FGIT 2012 - Gangneug, Korea, Republic of Duration: 2012.12.16 → 2012.12.19

Publication series

Name	Communications in Computer and Information Science
Volume	352 CCIS
ISSN (Print)	1865-0929

Conference

Conference	2012 Conference on EL 2012, the 2012 Int. Conference on DTA 2012, and the 2012 International Conference on u- and e- Service, Science and Technology, UNESST 2012, Held as Part of the Future Generation Information Technology Conference, FGIT 2012
Country/Territory	Korea, Republic of
City	Gangneug
Period	12.12.16 → 12.12.19

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10.1007/978-3-642-35603-2_17

Cite this

Lee, S., Kim, S., Kim, J., & Park, S. (2012). Detecting inconsistent names of source code using NLP. In Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc. (pp. 111-115). (Communications in Computer and Information Science; Vol. 352 CCIS). https://doi.org/10.1007/978-3-642-35603-2_17

Lee, Sungnam ; Kim, Suntae ; Kim, Jeongah et al. / Detecting inconsistent names of source code using NLP. Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc.. 2012. pp. 111-115 (Communications in Computer and Information Science).

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title = "Detecting inconsistent names of source code using NLP",

abstract = "Software developers use refactoring in order to improve quality of source code. Refactoring is a disciplined technique for restructuring an existing body of code without changing its external behavior[3]. For example, 'Extract method' is the one of the refactoring approaches to improving readability of the large-scale method by splitting them into several small-scale methods. In refactoring, code smell indicates any symptom in the source code that possibly causes a deeper problem. Although inconsistent names of source code elements as one of the code smells are crucial, it is hardly achieved by going through the whole source code. Furthermore, it generally can be handled by several developers that understand the source code and also is easy to pass without checking because it does not affect software execution.",

author = "Sungnam Lee and Suntae Kim and Jeongah Kim and Sooyoung Park",

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booktitle = "Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc.",

note = "2012 Conference on EL 2012, the 2012 Int. Conference on DTA 2012, and the 2012 International Conference on u- and e- Service, Science and Technology, UNESST 2012, Held as Part of the Future Generation Information Technology Conference, FGIT 2012 ; Conference date: 16-12-2012 Through 19-12-2012",

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Lee, S, Kim, S, Kim, J & Park, S 2012, Detecting inconsistent names of source code using NLP. in Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc.. Communications in Computer and Information Science, vol. 352 CCIS, pp. 111-115, 2012 Conference on EL 2012, the 2012 Int. Conference on DTA 2012, and the 2012 International Conference on u- and e- Service, Science and Technology, UNESST 2012, Held as Part of the Future Generation Information Technology Conference, FGIT 2012, Gangneug, Korea, Republic of, 12.12.16. https://doi.org/10.1007/978-3-642-35603-2_17

Detecting inconsistent names of source code using NLP. / Lee, Sungnam; Kim, Suntae; Kim, Jeongah et al.
Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc.. 2012. p. 111-115 (Communications in Computer and Information Science; Vol. 352 CCIS).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Detecting inconsistent names of source code using NLP

AU - Lee, Sungnam

AU - Kim, Suntae

AU - Kim, Jeongah

AU - Park, Sooyoung

PY - 2012

Y1 - 2012

N2 - Software developers use refactoring in order to improve quality of source code. Refactoring is a disciplined technique for restructuring an existing body of code without changing its external behavior[3]. For example, 'Extract method' is the one of the refactoring approaches to improving readability of the large-scale method by splitting them into several small-scale methods. In refactoring, code smell indicates any symptom in the source code that possibly causes a deeper problem. Although inconsistent names of source code elements as one of the code smells are crucial, it is hardly achieved by going through the whole source code. Furthermore, it generally can be handled by several developers that understand the source code and also is easy to pass without checking because it does not affect software execution.

AB - Software developers use refactoring in order to improve quality of source code. Refactoring is a disciplined technique for restructuring an existing body of code without changing its external behavior[3]. For example, 'Extract method' is the one of the refactoring approaches to improving readability of the large-scale method by splitting them into several small-scale methods. In refactoring, code smell indicates any symptom in the source code that possibly causes a deeper problem. Although inconsistent names of source code elements as one of the code smells are crucial, it is hardly achieved by going through the whole source code. Furthermore, it generally can be handled by several developers that understand the source code and also is easy to pass without checking because it does not affect software execution.

UR - https://www.scopus.com/pages/publications/84870878041

U2 - 10.1007/978-3-642-35603-2_17

DO - 10.1007/978-3-642-35603-2_17

M3 - Conference paper

AN - SCOPUS:84870878041

SN - 9783642356025

T3 - Communications in Computer and Information Science

SP - 111

EP - 115

BT - Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc.

T2 - 2012 Conference on EL 2012, the 2012 Int. Conference on DTA 2012, and the 2012 International Conference on u- and e- Service, Science and Technology, UNESST 2012, Held as Part of the Future Generation Information Technology Conference, FGIT 2012

Y2 - 16 December 2012 through 19 December 2012

ER -

Lee S, Kim S, Kim J, Park S. Detecting inconsistent names of source code using NLP. In Computer Applications for Database, Education, and Ubiquitous Computing - Int. Conferences, EL, DTA and UNESST 2012, Held as Part of the Future Generation Information Technol. Conf., FGIT 2012, Proc.. 2012. p. 111-115. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-35603-2_17

Detecting inconsistent names of source code using NLP

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