Soft computing techniques have emerged as the most popular and
widely used techniques in the field of Software Engineering as they
offer the advantages of reduced cost, time, maintenance and
increased productivity. In this book, few soft computing techniques
(i.e. Fuzzy-Logic (FL), Neural Network (NN) and Neuro-Fuzzy (NF))
have been proposed to automate the software development process and
are found to be suitable at the various phases of software
development. The book is organized into nine chapters according to
the phases of Software Development Life Cycle (SDLC). Effective
utilization of soft computing techniques should result in increased
productivity and quality, reduced cycle time, and lesser costs in
the long run. Therefore, this book is useful to further explore
various emerging soft computing technologies, including neural
computing techniques such as Support Vector Machine (SVM), Adaptive
Neuro-Fuzzy Inference System (ANFIS), hybrid soft computing models
based on neural, fuzzy and evolutionary computation technologies.
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