Improvement in Method Verb Recommendation Technique Using Association Rule Mining

Yuki KASHIWABARA; Takashi ISHIO; Katsuro INOUE

doi:10.1587/transinf.2015EDL8069

Improvement in Method Verb Recommendation Technique Using Association Rule Mining

Yuki KASHIWABARA, Takashi ISHIO, Katsuro INOUE

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Summary :

In a previous study, we proposed a technique to recommend candidate verbs for a method name so that developers can consistently use various verbs. In this study, we improve the rule extraction technique proposed in this previous study. Moreover, we confirm that the rank of each correct verb recommended by the new technique is higher than that by the previous technique.

Publication: IEICE TRANSACTIONS on Information Vol.E98-D No.11 pp.1982-1985

Publication Date: 2015/11/01

Publicized: 2015/08/13

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2015EDL8069

Type of Manuscript: LETTER

Category: Software Engineering

Authors

Yuki KASHIWABARA
  Osaka University
Takashi ISHIO
  Osaka University
Katsuro INOUE
  Osaka University

Keyword

recommendation, verb in method name, association rule

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Yuki KASHIWABARA, Takashi ISHIO, Katsuro INOUE, "Improvement in Method Verb Recommendation Technique Using Association Rule Mining" in IEICE TRANSACTIONS on Information, vol. E98-D, no. 11, pp. 1982-1985, November 2015, doi: 10.1587/transinf.2015EDL8069.
Abstract: In a previous study, we proposed a technique to recommend candidate verbs for a method name so that developers can consistently use various verbs. In this study, we improve the rule extraction technique proposed in this previous study. Moreover, we confirm that the rank of each correct verb recommended by the new technique is higher than that by the previous technique.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8069/_p

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@ARTICLE{e98-d_11_1982,
author={Yuki KASHIWABARA, Takashi ISHIO, Katsuro INOUE, },
journal={IEICE TRANSACTIONS on Information},
title={Improvement in Method Verb Recommendation Technique Using Association Rule Mining},
year={2015},
volume={E98-D},
number={11},
pages={1982-1985},
abstract={In a previous study, we proposed a technique to recommend candidate verbs for a method name so that developers can consistently use various verbs. In this study, we improve the rule extraction technique proposed in this previous study. Moreover, we confirm that the rank of each correct verb recommended by the new technique is higher than that by the previous technique.},
keywords={},
doi={10.1587/transinf.2015EDL8069},
ISSN={1745-1361},
month={November},}

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TY - JOUR
TI - Improvement in Method Verb Recommendation Technique Using Association Rule Mining
T2 - IEICE TRANSACTIONS on Information
SP - 1982
EP - 1985
AU - Yuki KASHIWABARA
AU - Takashi ISHIO
AU - Katsuro INOUE
PY - 2015
DO - 10.1587/transinf.2015EDL8069
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2015
AB - In a previous study, we proposed a technique to recommend candidate verbs for a method name so that developers can consistently use various verbs. In this study, we improve the rule extraction technique proposed in this previous study. Moreover, we confirm that the rank of each correct verb recommended by the new technique is higher than that by the previous technique.
ER -