The measurement of class cohesion using semantic approach

Bayu Priyambadha; Tetsuro Katayama; Yoshihiro Kita; Hisaaki Yamaba; Kentaro Aburada; Nanoubu Okazaki

doi:10.5954/ICAROB.2020.OS14-4

The measurement of class cohesion using semantic approach

Bayu Priyambadha
, Tetsuro Katayama
, Yoshihiro Kita
, Hisaaki Yamaba
, Kentaro Aburada
, Nanoubu Okazaki

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

The cohesion is one of the design quality indicators that can be measured by focusing on the correlation between elements inner the class. In Direct Distance Design Class Cohesion (D₃C₂) metrics, elements are assumed correlated if they have a similar type. In this research, the correlation between elements' inner class is not only based on type similarity but also on the meaning of the element’s name. The results confirm that the value of cohesion increases in line with the similarity of meaning.

Original language	English
Pages (from-to)	759-762
Number of pages	4
Journal	Proceedings of International Conference on Artificial Life and Robotics
Volume	2020
DOIs	https://doi.org/10.5954/ICAROB.2020.OS14-4
Publication status	Published - 2020
Externally published	Yes
Event	25th International Conference on Artificial Life and Robotics, ICAROB 2020 - Beppu, Oita, Japan Duration: 13 Jan 2020 → 16 Jan 2020

Keywords

Cohesion Metric
D3C2 Metric
Design Quality
Software Engineering
Software Quality

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10.5954/ICAROB.2020.OS14-4

Cite this

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title = "The measurement of class cohesion using semantic approach",

abstract = "The cohesion is one of the design quality indicators that can be measured by focusing on the correlation between elements inner the class. In Direct Distance Design Class Cohesion (D3C2) metrics, elements are assumed correlated if they have a similar type. In this research, the correlation between elements' inner class is not only based on type similarity but also on the meaning of the element{\textquoteright}s name. The results confirm that the value of cohesion increases in line with the similarity of meaning.",

keywords = "Cohesion Metric, D3C2 Metric, Design Quality, Software Engineering, Software Quality",

author = "Bayu Priyambadha and Tetsuro Katayama and Yoshihiro Kita and Hisaaki Yamaba and Kentaro Aburada and Nanoubu Okazaki",

note = "Publisher Copyright: {\textcopyright} The 2020 International Conference on Artificial Life and Robotics (ICAROB2020).; 25th International Conference on Artificial Life and Robotics, ICAROB 2020 ; Conference date: 13-01-2020 Through 16-01-2020",

year = "2020",

doi = "10.5954/ICAROB.2020.OS14-4",

language = "English",

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journal = "Proceedings of International Conference on Artificial Life and Robotics",

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T1 - The measurement of class cohesion using semantic approach

AU - Priyambadha, Bayu

AU - Katayama, Tetsuro

AU - Kita, Yoshihiro

AU - Yamaba, Hisaaki

AU - Aburada, Kentaro

AU - Okazaki, Nanoubu

N1 - Publisher Copyright: © The 2020 International Conference on Artificial Life and Robotics (ICAROB2020).

PY - 2020

Y1 - 2020

N2 - The cohesion is one of the design quality indicators that can be measured by focusing on the correlation between elements inner the class. In Direct Distance Design Class Cohesion (D3C2) metrics, elements are assumed correlated if they have a similar type. In this research, the correlation between elements' inner class is not only based on type similarity but also on the meaning of the element’s name. The results confirm that the value of cohesion increases in line with the similarity of meaning.

AB - The cohesion is one of the design quality indicators that can be measured by focusing on the correlation between elements inner the class. In Direct Distance Design Class Cohesion (D3C2) metrics, elements are assumed correlated if they have a similar type. In this research, the correlation between elements' inner class is not only based on type similarity but also on the meaning of the element’s name. The results confirm that the value of cohesion increases in line with the similarity of meaning.

KW - Cohesion Metric

KW - D3C2 Metric

KW - Design Quality

KW - Software Engineering

KW - Software Quality

UR - https://www.scopus.com/pages/publications/85099333184

U2 - 10.5954/ICAROB.2020.OS14-4

DO - 10.5954/ICAROB.2020.OS14-4

M3 - Conference article

AN - SCOPUS:85099333184

SN - 2435-9157

VL - 2020

SP - 759

EP - 762

JO - Proceedings of International Conference on Artificial Life and Robotics

JF - Proceedings of International Conference on Artificial Life and Robotics

T2 - 25th International Conference on Artificial Life and Robotics, ICAROB 2020

Y2 - 13 January 2020 through 16 January 2020

ER -

The measurement of class cohesion using semantic approach

Abstract

Keywords

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