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An Advanced Coupling Complexity Metric for Evaluating the Quality of OO Software Modules

N. Vijayaraj1 , T.N. Ravi2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 78-82, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.7882

Online published on Sep 30, 2018

Copyright © N. Vijayaraj, T.N. Ravi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Vijayaraj, T.N. Ravi, “An Advanced Coupling Complexity Metric for Evaluating the Quality of OO Software Modules,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.78-82, 2018.

MLA Style Citation: N. Vijayaraj, T.N. Ravi "An Advanced Coupling Complexity Metric for Evaluating the Quality of OO Software Modules." International Journal of Computer Sciences and Engineering 6.9 (2018): 78-82.

APA Style Citation: N. Vijayaraj, T.N. Ravi, (2018). An Advanced Coupling Complexity Metric for Evaluating the Quality of OO Software Modules. International Journal of Computer Sciences and Engineering, 6(9), 78-82.

BibTex Style Citation:
@article{Vijayaraj_2018,
author = {N. Vijayaraj, T.N. Ravi},
title = {An Advanced Coupling Complexity Metric for Evaluating the Quality of OO Software Modules},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {78-82},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2825},
doi = {https://doi.org/10.26438/ijcse/v6i9.7882}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.7882}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2825
TI - An Advanced Coupling Complexity Metric for Evaluating the Quality of OO Software Modules
T2 - International Journal of Computer Sciences and Engineering
AU - N. Vijayaraj, T.N. Ravi
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 78-82
IS - 9
VL - 6
SN - 2347-2693
ER -

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Abstract

Software metrics plays a major role in assessing the quality of software in testing process. Software metrics elucidates the complexity, reusability, maintainability and understandability of the software code. Software complexity metrics are one of the emerging types of software metrics that focuses on the cognitive analysis of software in terms of understandability and maintainability. In other words, it can be rephrased as the effort taken to comprehend the program code for future enhancements. Complexity metrics has a direct impact with the analysis of complexity in software through an intrinsic study on the object oriented features. This paper proposes a novel Coupling Complexity Metric (IMFC), to highlight the complexity that incurs with coupling and weighs the complexity of a class.

Key-Words / Index Term

Coupling, CBO, reusability, maintainability, modifiability

References

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