Utilizing the Similarity Meaning of Label in Class Cohesion Calculation
- https://doi.org/10.2991/jrnal.k.201215.013How to use a DOI?
- Software engineering, software quality, design quality, cohesion metric, D3C2 metric
The cohesion is one of the design quality indicators in software engineering. The measurement of the value of cohesion is done by looking at the correlation between attributes and methods that are in a class. In Direct Distance Design Class Cohesion (D3C2) metrics, attributes, and methods are assumed to have a good correlation if they have a similar type. But, the similarity of type parameters and attributes do not always indicate that these attributes are managed (correlated) in the method. This study is trying to gain information that can enhance the degree of certainty of a correlation between the methods and attributes. Relatedness between them has been seen from closeness the meaning of the name tag attribute, method, and parameters. The experimental results declared an increase in the value of cohesion produced in line with the similarity of meaning.
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Bayu Priyambadha AU - Tetsuro Katayama AU - Yoshihiro Kita AU - Hisaaki Yamaba AU - Kentaro Aburada AU - Nanoubu Okazaki PY - 2020 DA - 2020/12 TI - Utilizing the Similarity Meaning of Label in Class Cohesion Calculation JO - Journal of Robotics, Networking and Artificial Life SP - 270 EP - 274 VL - 7 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.201215.013 DO - https://doi.org/10.2991/jrnal.k.201215.013 ID - Priyambadha2020 ER -