Skip to main content
SpringerLink
Log in
Book cover

Conference on Education and Learning

International Conference on Database Theory and Application

EL 2012, DTA 2012: Computer Applications for Database, Education, and Ubiquitous Computing pp 111–115Cite as

Detecting Inconsistent Names of Source Code Using NLP

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 352))

Introduction

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Buse, R., Weimer, W.: A Metric for Software Readiability. In: Proceedings of International Symposium on Software Testing and Analysis (ISSTA), Seattle, WA, pp. 121–130 (2008)

    Google Scholar 

  2. Code Conventions for the Java Programming Language: Why Have Code Conventions, Sunmicro Systems (1999), http://www.oracle.com/technetwork/java/index-135089.html

  3. Fowler, M.: Refactoring: Improving the Design of Existing Code. Addison-Wesley (1999)

    Google Scholar 

  4. Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Doklady 10(8), 707–710 (1966)

    MathSciNet  Google Scholar 

  5. Posnett, D., Hindle, A., Devanbu, P.: A Simpler Model of Software Readiability. In: Proceedings of International Confernce on Mining Software Repository(MSR), Honolulu, Hawaii, pp. 73–82 (2011)

    Google Scholar 

  6. The Stanford Parser: A statistical parser, Home page (2012), http://nlp.stanford.edu/software/lex-parser.shtml

  7. WordNet: A lexical database for English, Home page (2012), http://wordnet.princeton.edu/

Download references

Author information

Authors and Affiliations

  1. Defense Acquisition Program Administration, Seoul, South Korea

    Sungnam Lee

  2. Dept. of Computer Engineering, Kangwon National University, Sam-Cheok, South Korea

    Suntae Kim

  3. Dept. of Computer Education, Kwandong University, South Korea

    JeongAh Kim

  4. Dept. of Computer Science & Engineering, Sogang University, Seoul, South Korea

    Sooyoung Park

Authors
  1. Sungnam Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Suntae Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. JeongAh Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sooyoung Park
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. GVSA and University of Tasmania, Hobart, TAS, Australia

    Tai-hoon Kim

  2. Hosei University, 3-7-2, Kajino-cho, 184-8584, Koganei-shi, Tokyo, Japan

    Jianhua Ma

  3. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  4. Victoria University, 8001, Melbourne, VIC, Australia

    Yanchun Zhang

  5. University of Calabria, Via P. Bucci, 41C, I-87036, Rende, Cosenza, Italy

    Alfredo Cuzzocrea

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lee, S., Kim, S., Kim, J., Park, S. (2012). Detecting Inconsistent Names of Source Code Using NLP. In: Kim, Th., Ma, J., Fang, Wc., Zhang, Y., Cuzzocrea, A. (eds) Computer Applications for Database, Education, and Ubiquitous Computing. EL DTA 2012 2012. Communications in Computer and Information Science, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35603-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35603-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35602-5

  • Online ISBN: 978-3-642-35603-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation