Artificial Intelligence Applications for Improved Software Engineering Development New Prospects 1st Edition by Farid Meziane, Sunil Vadera ISBN 1605667587 978-1605667584
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ISBN 10: 1605667587
ISBN 13: 978-1605667584
Author: Farid Meziane, Sunil Vadera
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.
Table of contents:
Section 1
Project Management and Cost Estimation
Chapter 1
Software Project and Quality Modelling Using Bayesian Networks
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
Emilia Mendes, The University of Auckland, New Zealand
Chapter 3
Optimizing Software Development Cost Estimates using Multi-Objective Particle
Swarm Optimization
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 …
Salvatore A. Sarcia, University of Rome Tor Vergata, Italy
John Cantone, University of Maryland, USA
Victor R. Basili, University of Maryland, USA
Section 2
Requirements Engineering and Specification
Chapter 5
From Textual Scenarios to Message Sequence Charts.
Leonid Kof, Technical University of Munich, Germany
Chapter 6
A Bayesian Network for Predicting the Need for a Requirements Review
José del Sagrado Martinez, University of Almeria, Spain Isabel María del Águila Cano, University of Almeria, Spain
Chapter 7
Knowledge Engineering Support for Software Requirements, Architectures and Components……
Muthu Ramachandran, Leeds Metropolitan University, UK
Chapter 8
MUSTER: A Situational Tool for Requirements Elicitation
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
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
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
Section 4
Software Testing and Maintenance
Chapter 11
Constraint-Based Techniques for Software Testing
Nikolai Kosmatov, CEA LIST, Software Safety Laboratory, France
Chapter 12
Computational Intelligence for Functional Testing
C. Peng Lam, Edith Cowan University, Australia
Chapter 13
Mining Past-Time Temporal Rules: A Dynamic Analysis Approach
David Lo, Singapore Management University, Singapore
Siau-Cheng Khoo, National University of Singapore, Singapore Chao Liu, Microsoft Research- Redmond, USA
Chapter 14
Artificial Intelligence in Software Engineering: Current Developments and Future Prospects
Farid Meziane, University of Salford, UK
Sunil Vadera, University of Salford, UK
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Tags: Farid Meziane, Sunil Vadera, Artificial Intelligence, Improved Software