Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System

Authors

  • Rai AK Computer Science and Engineering, Shri Ram Swaroop Memorial University, Deva Road, Barabanki,UP,India
  • Agrawal S Computer Science and Engineering Shri Ram Swaroop Memorial University, Deva Road, Barabanki,UP, India
  • Khaliq M Computer Application, KMC Urdu Arabi Farsi University, Lucknow,UP, India

DOI:

https://doi.org/10.26438/ijcse/v6i9.755759

Keywords:

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

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.

References

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Published

2025-11-15
CITATION
DOI: 10.26438/ijcse/v6i9.755759
Published: 2025-11-15

How to Cite

[1]
A. K. Rai, S. Agrawal, and M. Khaliq, “Agile Software Quality of Adaptability Risk Measurement using Fuzzy Inference System”, Int. J. Comp. Sci. Eng., vol. 6, no. 9, pp. 755–759, Nov. 2025.

Issue

Vol. 6 No. 9 (2018): IJCSE September Editor

Section

Research Article

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