Fuzzy Logic System Application On Selection Of Software Components
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Fuzzy Logic System Application on Selection of Software Components
Author: Santosh Kumar Nanda
language: en
Publisher: LAP Lambert Academic Publishing
Release Date: 2015-05-06
The last decade has shown that object-oriented concept by itself is not that powerful to cope with the rapidly changing requirements of on-going applications. Component based system achieves flexibility by clearly separating the stable parts of systems (i.e. components) form the specification of their composition. In order to realize the reuse of components effectively in component based software development, it is required to measure the reusability of components. However, due to the black-box nature of components where the source of these components are not available, it is difficult to use conventional metrics in components based development as these metrics require analysis of source codes. In this research, we adopt FUZZY Logic based approach to estimate the reusability of components. Several factors of reusability are taken into account.
Component-Based Systems
Businesses today are faced with a highly competitive market and fast-changing technologies. In order to meet demanding customers’ needs, they rely on high quality software. A new field of study, soft computing techniques, is needed to estimate the efforts invested in component-based software. Component-Based Systems: Estimating Efforts Using Soft Computing Techniques is an important resource that uses computer-based models for estimating efforts of software. It provides an overview of component-based software engineering, while addressing uncertainty involved in effort estimation and expert opinions. This book will also instruct the reader how to develop mathematical models. This book is an excellent source of information for students and researchers to learn soft computing models, their applications in software management, and will help software developers, managers, and those in the industry to apply soft computing techniques to estimate efforts.
Fuzzy Logic And Soft Computing
Author: Bernadette Bouchon-meunier
language: en
Publisher: World Scientific
Release Date: 1995-09-15
Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.