Role of CK Metrics to Identify Fault-Proneness in Object Oriented Software: A Survey
Sunil Sikka1 , Utpal Shrivastava2 , Pooja 3
- Dept. of Computer Science and Engineering, Amity University Haryana, Gurugram, India.
- Dept. of Computer Science and Engineering, Amity University Haryana, Gurugram, India.
- Dept. of Computer Science and Engineering, Amity University Haryana, Gurugram, India.
Section:Survey Paper, Product Type: Journal Paper
Volume-6 ,
Issue-5 , Page no. 1162-1164, May-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i5.11621164
Online published on May 31, 2018
Copyright © Sunil Sikka, Utpal Shrivastava, Pooja . 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: Sunil Sikka, Utpal Shrivastava, Pooja, “Role of CK Metrics to Identify Fault-Proneness in Object Oriented Software: A Survey,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.1162-1164, 2018.
MLA Style Citation: Sunil Sikka, Utpal Shrivastava, Pooja "Role of CK Metrics to Identify Fault-Proneness in Object Oriented Software: A Survey." International Journal of Computer Sciences and Engineering 6.5 (2018): 1162-1164.
APA Style Citation: Sunil Sikka, Utpal Shrivastava, Pooja, (2018). Role of CK Metrics to Identify Fault-Proneness in Object Oriented Software: A Survey. International Journal of Computer Sciences and Engineering, 6(5), 1162-1164.
BibTex Style Citation:
@article{Sikka_2018,
author = {Sunil Sikka, Utpal Shrivastava, Pooja},
title = {Role of CK Metrics to Identify Fault-Proneness in Object Oriented Software: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {1162-1164},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2125},
doi = {https://doi.org/10.26438/ijcse/v6i5.11621164}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.11621164}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2125
TI - Role of CK Metrics to Identify Fault-Proneness in Object Oriented Software: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Sunil Sikka, Utpal Shrivastava, Pooja
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 1162-1164
IS - 5
VL - 6
SN - 2347-2693
ER -
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Abstract
Predicting Fault-proneness of software modules is the essential for cost effective test planning. Various studies have shown the importance of software metrics in predicting fault-proneness of the software.Chidamber and Kemerer (CK) metrics suite is the most widely used metrics suite for the purpose of object-oriented software fault-proneness prediction. The current paper is aimed to review various studies available in literature to predict software fault-proneness using CK metrics.
Key-Words / Index Term
Fault-proneness,CK metrics.
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