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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

[1]Agarwal A., Garg N K. and Jain A, “Quality Assurance for Product Development using Agile”, International Conference on Reliability Optimization and Information Technology -ICROIT 2014, IEEE, India , Page(s):44 - 47 , Feb 6-8 2014, ISBN: 978-1-4799-2995-5.
[2]Alawairdhi M,” Agile Development as a change Management Approach in Software Projects: AppliedCase Study”, Information Management (ICIM),IEEE,UK, Pages 100-104, 7-8 May 2016, ISBN: 978-1-5090-1471-2.
[3] Bhasin S.,” Quality Assurance in agile: a study towards achieving excellence”, AGILE India (AGILE INDIA), IEEE, India, Pages 64-67, 15 March 2012. ISBN: 2326-6015
[4] J. Madison, “ Agile Architecture Interactions,” IEEE Software, ©IEEE Computer Society,Vol. 27. Issue 2,Pages 41-48,2010.
[5]Kropp M., Meier A. and Perellano G.,” Experience Report of Teaching Agile Collaboration and values.Software Engineering Education and Training (CSEET)”, 2016 IEEE 29th International Conference,USA, Pages 76-80, 5-6 April, ISBN-13: 978-1-5090-0765-3
[6] L.R. Vijayasarathy and D.Turk, “Agile Software Development: A survey of early adopter,” Journal of Information Technology Management, Vol. 11( 2), Pages 1-8, 2008.
[7]Lotfi A. Zadeh, “Is there a need for fuzzy logic?”, Information Sciences, Elsevier, Vol 178( 13),Pages 2751–2779,2008.
[8] Misra C. S., Kumar V. and Kumar U.” Identifying some important success factors in adopting agile softwaredevelopment practices”, In The Journal of Systems and Software, Elsevier,Vol 82 Pages 1869–1890,2009.
[9] Padmini K.V., Dilum H.M. and Perera I.,” Use of Software Metrics in Agile Software Development Process”,Moratuwa Engineering Research Conference (MERCon),IEEE, Shri Lanka Pages 312-317,7-8 April 2015, ISBN: 978-1-4799-1740-2.
[10] Sishar M. and Arif M.(2012),” Evaluation of QualityAssurance Factors in Agile Methodologies”, InternationalJournal of Advanced Computer Science, Vol. 2(2), Pages .73-78, Feb. 2012.
[11] Silva, F. S., Soares, F. S. F., Peres, A. L., de Azevedo, I. M., Pinto, P. P., & de LemosMeira, S. R.,”A Reference Model for Agile Quality Assurance. Quality of Information and Communications Technology (QUATIC)”,9th International Conference (IEEE).Pages 139-144, 23-26 September 2014, ISBN: 978-1-4799-6133-7
[12] Sagheer. M, Zafar. T &Sirshar.M (2015, Februray),” A Framework for Software Quality Assurance”, International Journal Of Scientific & Technology Research Vol 4(2), Pages 44-50, February 2015.
[13]Teimuraz Tsabadze,“A method for fuzzy aggregation based on group expert evaluations”, Fuzzy Sets and Systems, Vol. 157(10),Pages 1346-1361,May 2006.
[14]Xu.B.(2009),”Towards high quality software development with extreme programming methodology: practices from real software projects”. In Management and Service Science, 2009.MASS `09. International Conference, IEEE,China, 20-22 September 2009, ISBN: 978-1-4244-4638-4.