Overview

The constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet these and other continuously growing challenges by developing and implementing useful software engineering methodologies. Among the more recent advances are those made in the context of software portability, formal verification· techniques, software measurement, and software reuse. However, despite the introduction of some important and useful paradigms in the software engineering discipline, their technological transfer on a larger scale has been extremely gradual and limited. For example, many software development organizations may not have a well-defined software assurance team, which can be considered as a key ingredient in the development of a high-quality and dependable software product. Recently, the software engineering field has observed an increased integration or fusion with the computational intelligence (Cl) field, which is comprised of primarily the mature technologies of fuzzy logic, neural networks, genetic algorithms, genetic programming, and rough sets. Hybrid systems that combine two or more of these individual technologies are also categorized under the Cl umbrella. Software engineering is unlike the other well-founded engineering disciplines, primarily due to its human component (designers, developers, testers, etc. ) factor. The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and softwaretesting.

Full Product Details

Author:   Taghi M. Khoshgoftaar
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2003
Volume:   731
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.575kg
ISBN:  

9781461350729

ISBN 10:   1461350727
Pages:   361
Publication Date:   31 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Applying Machine Learners to GUI Specifications in Formulating Early Life Cycle Project Estimations.- 2. Applying Fuzzy Logic Modeling to Software Project Management.- 3. Integrating Genetic Algorithms with Systems Dynamics to Optimize Quality Assurance Effort Allocation.- 4. Improved Fault-Prone Detection Analysis of Software Modules Using an Evolutionary Neural Network Approach.- 5. A Fuzzy Model and the AdeQuaS Fuzzy Tool: a theoretical and a practical view of the Software Quality Evaluation.- 6. Software Quality Prediction Using Bayesian Networks.- 7. Towards the Verification and Validation of Online Learning Adaptive Systems.- 8. Experimenting with Genetic Algorithms to Devise Optimal Integration Test Orders.- 9. Automated Test Reduction Using an Info-Fuzzy Network.- 10. A Genetic Algorithm Approach to Focused Software Usage Testing.- 11. An Expert System for Suggesting Design Patterns - A Methodology and a Prototype.- 12. Condensing Uncertainty via Incremental Treatment Learning.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions