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Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System

Anand Kumar Rai1 , Shalini Agrawal2 , Mazahar Khaliq3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 755-759, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.755759

Online published on Sep 30, 2018

Copyright © Anand Kumar Rai, Shalini Agrawal, Mazahar Khaliq . 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: Anand Kumar Rai, Shalini Agrawal, Mazahar Khaliq, “Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.755-759, 2018.

MLA Style Citation: Anand Kumar Rai, Shalini Agrawal, Mazahar Khaliq "Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System." International Journal of Computer Sciences and Engineering 6.9 (2018): 755-759.

APA Style Citation: Anand Kumar Rai, Shalini Agrawal, Mazahar Khaliq, (2018). Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System. International Journal of Computer Sciences and Engineering, 6(9), 755-759.

BibTex Style Citation:
@article{Rai_2018,
author = {Anand Kumar Rai, Shalini Agrawal, Mazahar Khaliq},
title = {Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {755-759},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2939},
doi = {https://doi.org/10.26438/ijcse/v6i9.755759}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.755759}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2939
TI - Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System
T2 - International Journal of Computer Sciences and Engineering
AU - Anand Kumar Rai, Shalini Agrawal, Mazahar Khaliq
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 755-759
IS - 9
VL - 6
SN - 2347-2693
ER -

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Abstract

Quality of agile software is one of the major issues in software vigorous systems, and it is important to examine methodically it as early as possible. An increasingly important quality attribute of complicated software systems is adaptability. Agile software development methodologies are very useful since their beginning to improve the quality of the software product. In this paper an innovative practice has been presented for evaluating agile software quality of adaptation using the Fuzzy Inference System in order to determine the developed software quality acceptance degree.

Key-Words / Index Term

Agile Software Quality of Adaptation, Risk Indicators, Fuzzy Rule Base, Fuzzy Inference System

References

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