Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects (Advances in Intelligent Information Technologies (Aiit) Book Series)

✍ Scribed by Farid Meziane, Sunil Vadera, Farid Meziane, Sunil Vadera

• Publisher: Information Science Reference
• Year: 2009
• Tongue: English
• Leaves: 371
• Series: Advances in Intelligent Information Technologies Aiit Book Series
• Edition: 1
• Category: Library

✦ Synopsis

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

Title
......Page 2
Editorial Advisory Board......Page 4
Table of Contents......Page 5
Detailed Table of Contents......Page 8
Foreword......Page 14
Preface......Page 16
Acknowledgment......Page 23
Software Project and Quality Modelling Using Bayesian Networks......Page 26
Using Bayesian Networks for Web Effort Estimation......Page 51
Optimizing Software Development Cost Estimates using Multi-Objective Particle Swarm Optimization......Page 70
Auto-Associative Neural Networks to Improve the Accuracy of Estimation Models......Page 91
From Textual Scenarios to Message Sequence Charts......Page 108
A Bayesian Network for Predicting the Need for a Requirements Review......Page 131
Knowledge Engineering Support for Software Requirements, Architectures and Components......Page 154
MUSTER A Situational Tool for Requirements Elicitation......Page 171
An Intelligent Computational Argumentation System for Supporting Collaborative Software Development Decision Making......Page 192
Supporting Quality-Driven Software Design through Intelligent Assistants......Page 206
Constraint-Based Techniques for Software Testing......Page 243
Computational Intelligence for Functional Testing......Page 258
Mining Past-TimeTemporal Rules A Dynamic Analysis Approach......Page 284
Artificial Intelligence in Software Engineering Current Developments and Future Prospects......Page 303
Compilation of References......Page 325
About the Contributors......Page 361
Index......Page 368