Soft Computing in Software Engineering

✍ Scribed by Carlo Bellettini, Maria Grazia Fugini (auth.), Prof. Ernesto Damiani, Mauro Madravio, Prof. Lakhmi C. Jain (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004
Tongue: English
Leaves: 323
Series: Studies in Fuzziness and Soft Computing 159
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

This book illustrates the impact of soft computing techniques on software engineering research and practices dealing with a range of novel methods reshaping the software development process. Specifically, it is shown how Software Engineering tasks such as reuse-oriented classification (e.g. components’ repositories), software diagnostic (e.g. bug detection and correction), effort prediction (e.g. project costs and time estimation), planning (e.g. project scheduling) and others can be appropriately handled by means of soft computing techniques. The book is a valuable reference for practitioners as well as an updated resource of ongoing interdisciplinary research in Soft Computing in Software Engineering.

✦ Table of Contents

Front Matter....Pages I-XIII
Fuzzy selection of software components and of web services....Pages 1-32
A Training Approach to Develop Reusable Software Components by Combining Adaptation Algorithms....Pages 33-63
Fuzzy Case-Based Reasoning Models for Software Cost Estimation....Pages 64-96
Automating Software Development Process Using Fuzzy Logic....Pages 97-124
Many Maybes Mean (Mostly) the Same Thing....Pages 125-150
Soft Computing Based Effort Prediction Systems — A Survey....Pages 151-182
High-level design of composite systems....Pages 183-220
RSHP: an information representation model based on relationships....Pages 221-253
Neurofuzzy Analysis of Software Quality Data....Pages 254-273
Linguistic resources and fuzzy algebra in adaptive hypermedia systems....Pages 274-312

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Software Engineering; Artificial Intelligence (incl. Robotics); Computational Intelligence; Applications of Mathematics

📜 SIMILAR VOLUMES

Soft Computing in Engineering

📁 Soft Computing in Engineering

✍ Jamshid Ghaboussi 📂 Library 📅 2018 🏛 CRC Press 🌐 English

Soft computing methods such as neural networks and genetic algorithms draw on the problem solving strategies of the natural world which differ fundamentally from the mathematically-based computing methods normally used in engineering. Human brains are highly effective computers with capabilities far

Soft Computing in Communications

📁 Soft Computing in Communications

✍ Prof. Lipo Wang (auth.) 📂 Library 📅 2004 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This book is dedicated to recent novel applications of soft computing in communications. It presents the methodologies of neural networks, evolutionary computation, fuzzy logic and neurofuzzy systems, and kernel methods. Applications to the wide field of communications are demonstrated, such a

Advances of Soft Computing in Engineerin

📁 Advances of Soft Computing in Engineering

✍ John Miles (auth.), Zenon Waszczyszyn (eds.) 📂 Library 📅 2010 🏛 Springer-Verlag Wien 🌐 English

The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method.

Soft Computing Techniques in Engineering

📁 Soft Computing Techniques in Engineering Applications

✍ Srikanta Patnaik, Baojiang Zhong (eds.) 📂 Library 📅 2014 🏛 Springer International Publishing 🌐 English

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous con

Soft Computing: Techniques in Engineerin

📁 Soft Computing: Techniques in Engineering Sciences

✍ Mangey Ram, Suraj B. Singh 📂 Library 📅 2020 🏛 De Gruyter 🌐 English

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and

Advances of Soft Computing in Engineerin

📁 Advances of Soft Computing in Engineering

✍ Zenon Waszczyszyn 📂 Library 📅 2010 🏛 Springer Verlag 🌐 English