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Book Details

Cover of ARTIFICIAL INTELLIGENCE APPLLICATIONS FOR IMPROVED SOFTWARE ENGINEERING DEVELOPMENT

ARTIFICIAL INTELLIGENCE APPLLICATIONS FOR IMPROVED SOFTWARE ENGINEERING DEVELOPMENT : NEW PROSPECTS (Advances in Computational Intelligence and Robotics)

ISBN 9781605667584
Pages 0
Year 2010
Edition 1
Rs 15840.00 Rs 12672.00
Description
Despite decades of research, developing software that is fit for purpose, developed on time, and within budget remains a challenge. Many researchers have advocated the use of artificial intelligence techniques such as knowledge-based systems, neural networks, and data mining as a way of addressing these difficulties. Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement. A compendium of latest industry findings, this Premier Reference Source offers researchers, academicians, and practitioners developmental ideas within the field.
Content
Foreword ............................................................................................................................................ xiii Preface ................................................................................................................................................. xv Acknowledgment .............................................................................................................................. xxii Section 1 Project Management and Cost Estimation Chapter 1 Software Project and Quality Modelling Using Bayesian Networks ..................................................... 1 Norman Fenton, Queen Mary, University of London, United Kingdom Peter Hearty, Queen Mary, University of London, United Kingdom Martin Neil, Queen Mary, University of London, United Kingdom Łukasz Radliński, Queen Mary, University of London, United Kingdom, and University of Szczecin, Poland Chapter 2 Using Bayesian Networks for Web Effort Estimation ......................................................................... 26 Emilia Mendes, The University of Auckland, New Zealand Chapter 3 Optimizing Software Development Cost Estimates using Multi-Objective Particle Swarm Optimization ............................................................................................................................ 45 Tad Gonsalves, Sophia University, Japan Kei Yamagishi, Sophia University, Japan Ryo Kawabata, Sophia University, Japan Kiyoshi Itoh, Sophia University, Japan Chapter 4 Auto-Associative Neural Networks to Improve the Accuracy of Estimation Models ......................... 66 Salvatore A. Sarcia, Università di Roma Tor Vergata, Italy Giovanni Cantone, University of Maryland, USA Victor R. Basili, University of Maryland, USA Table of Contents Section 2 Requirements Engineering and Specification Chapter 5 From Textual Scenarios to Message Sequence Charts ......................................................................... 83 Leonid Kof, Technische Universität München, Germany Chapter 6 A Bayesian Network for Predicting the Need for a Requirements Review ....................................... 106 José del Sagrado Martínez, University of Almería, Spain Isabel María del Águila Cano, University of Almería, Spain Chapter 7 Knowledge Engineering Support for Software Requirements, Architectures and Components ....... 129 Muthu Ramachandran, Leeds Metropolitan University, UK Chapter 8 MUSTER: A Situational Tool for Requirements Elicitation .............................................................. 146 Chad Coulin, University of Technology Sydney, Australia & LAAS CNRS, France Didar Zowghi, University of Technology Sydney, Australia Abd-El-Kader Sahraoui, LAAS CNRS, France Section 3 Software Design and Implementation Chapter 9 An Intelligent Computational Argumentation System for Supporting Collaborative Software Development Decision Making ......................................................................................................... 167 Xiaoqing (Frank) Liu, Missouri University of Science and Technology, USA Ekta Khudkhudia, Missouri University of Science and Technology, USA Lei Wen, Missouri University of Science and Technology, USA Vamshi Sajja, Missouri University of Science and Technology, USA Ming C. Leu, Missouri University of Science and Technology, USA Chapter 10 Supporting Quality-Driven Software Design through Intelligent Assistants ..................................... 181 Alvaro Soria, ISISTAN Research Institute and CONICET, Argentina J. Andres Diaz-Pace, Software Engineering Institute, USA Len Bass, Software Engineering Institute, USA Felix Bachmann, Software Engineering Institute, USA Marcelo Campo, ISISTAN Research Institute and CONICET, Argentina
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