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A Comparative Study of Software Metrics for Analysis and Its Impact on Predictability

G.Yamini 1 , Gopinath Ganapathy2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 134-138, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.134138

Online published on Jan 31, 2019

Copyright © G.Yamini, Gopinath Ganapathy . 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: G.Yamini, Gopinath Ganapathy, “A Comparative Study of Software Metrics for Analysis and Its Impact on Predictability,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.134-138, 2019.

MLA Style Citation: G.Yamini, Gopinath Ganapathy "A Comparative Study of Software Metrics for Analysis and Its Impact on Predictability." International Journal of Computer Sciences and Engineering 7.1 (2019): 134-138.

APA Style Citation: G.Yamini, Gopinath Ganapathy, (2019). A Comparative Study of Software Metrics for Analysis and Its Impact on Predictability. International Journal of Computer Sciences and Engineering, 7(1), 134-138.

BibTex Style Citation:
@article{Ganapathy_2019,
author = {G.Yamini, Gopinath Ganapathy},
title = {A Comparative Study of Software Metrics for Analysis and Its Impact on Predictability},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {134-138},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3474},
doi = {https://doi.org/10.26438/ijcse/v7i1.134138}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.134138}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3474
TI - A Comparative Study of Software Metrics for Analysis and Its Impact on Predictability
T2 - International Journal of Computer Sciences and Engineering
AU - G.Yamini, Gopinath Ganapathy
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 134-138
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

Quality assurance is one of the important non-functional software requirements which many software products fail to satisfy. Current software market is driven mostly by urgency and competition. One of the methods to ensure software quality is a metrics-based approach. Software metrics have been used to quantitatively evaluate software products. Software metrics play an important role in developing high quality software as well as to improve the developer’s productivity. Metrics can help quantify previous work in a way that can directly guide future efforts. For example, projects of different sizes can require vastly different levels of effort, organizational structure, and management discipline. There is an increasing need for metrics adapted to the Object-Oriented (OO) paradigm to help manage and foster quality in software development. Object-oriented design patterns are an emergent technology: they are reusable micro-architectures, high level building blocks. A major benefit of object-oriented software development is the support for reuse provided by object-oriented and object-based languages. The usefulness of metrics is reviewed. The reliability is one of the most important attributes of software quality. The presumed objective of the estimation of the reliability consists in the analysis of the risk and of the reliability of the software-based systems. This paper presents the study of different suite in object-oriented (OO) design metric.

Key-Words / Index Term

Software metrics; Object-oriented; MOOD; CK metric

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