Sensitivity analysis of fuzzy and neural network models

Authors:
K. K. Aggarwal;Yogesh Singh;Pravin Chandra;Manimala Puri
Affiliations:
GGS Indraprastha University, Delhi, India;GGS Indraprastha University, Delhi, India;GGS Indraprastha University, Delhi, India;D.Y.Patil, COE Pune, India
Venue:
ACM SIGSOFT Software Engineering Notes
Year:
2005

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Abstract

It is well known that soft computing techniques can be very well deployed for software engineering applications. Among these fuzzy and neural models are widely used to estimate lines of codes, effort, software maintainability, software understandability etc. This paper proposes to carry out a sensitivity analysis of the two models and shows which one is better. This is done with the help of a case study where the two models are used to measure software maintainability.