Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects

Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects

Farid Meziane, Sunil Vadera
Release Date: July, 2009|Copyright: © 2010 |Pages: 372
DOI: 10.4018/978-1-60566-758-4
ISBN13: 9781605667584|ISBN10: 1605667587|EISBN13: 9781605667591
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Description & Coverage
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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence Applications
  • Bayesian Networks
  • Cost Estimation
  • Knowledge engineering support
  • Multi-objective particle swarm optimization
  • Project Management
  • Software design and implementation
  • Software engineering development
  • Software project and quality modeling
  • Web effort estimation
Reviews & Statements

Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects represent an excellent summary of the state of the art in AI and Software Engineering.

– Ian Sommerville, St. Andrews, UK
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Editor/Author Biographies
Farid Meziane is a reader in software engineering in the School of Computing, Science and Engineering at the University of Salford (UK). He received a PhD in Software Engineering from the University of Salford (1994). His research interests are in the area of software engineering with particular emphasis on the integration of formal methods in the software development process, software quality and requirements engineering. His research is published in journals that include the Annals of Software Engineering, the Computer Journal, and the Journal of the Operational Research Society. He was awarded the highly commended award from the literati club in 2001 for a paper published in the Integrated Manufacturing Systems Journal. He is on the program committee of many international conferences, is a reviewer for the data and knowledge engineering journal, and serves on the editorial board of the International Journal of Information Technology and Web Engineering. He was the program chair and the organizer of the 9th International Conference on the Application of Natural Language to Information Systems (NLDB04). He is a chartered member of the British Computer Society.
Sunil Vadera is a professor of computer Science and serves as the current Director of the Informatics Research Institute at the University of Salford (UK). He holds a PhD from the University of Manchester in the area of formal methods of software development and is a Fellow of the British Computer Society.

His research is driven by the desire to close the gap between theory and practice in artificial intelligence. This has included work on sensor validation with the Mexican Instituto de Electricas, research on the development a system that advises on the relief venting of explosions in chemical processes for the Health and Safety Executive (UK), and research on machine learning for credit rating of sub-prime loans. His research has been published in journals including the Software Engineering Journal, Computer Journal, Formal Aspects of Computing, Foundations of Science, Expert Systems, and IEEE Transactions of Power Systems. He is co-founder of the European Conference on Intelligent Management Systems in Operations, held at Salford since 1997 and has co-edited several special issues of the Journal of Operational Research Society.

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Editorial Advisory Board

Editorial Advisory Board

  • Epaminondas Kapetanios, University of Westminster, UK
  • Leonid Kof, Munich Technical University, Germany
  • C. Peng Lam, Edith Cowan University, Australia
  • David Lo, Singapore Management University, Singapore.
  • Elisabeth Metais, CNAM, Paris, France
  • Dilip Patel, London South Bank University, UK
  • Vijayan Sugumaran, Oakland University, USA

    List of Reviewers

  • Adil Al Yasiri, University of Salford, UK
  • Chris Bryant, University of Salford, UK
  • Epaminondas Kapetanios, University of Westminster, UK
  • Zoubida Kedad, Université de Versailles, France
  • Leonid Kof, Munich Technical University, Germany
  • C. Peng Lam, Edith Cowan University, Australia
  • David Lo, Singapore Management University, Singapore
  • Elisabeth Metais, CNAM, Paris, France
  • Edwin Mit, University Malaysia Sarawak, Malaysia
  • Rafael Munoz, Universidat de Alicante, Spain
  • Dilip Patel, London South Bank University, UK
  • Muthu Ramachandran, Leeds Metropolitan University, UK
  • Vijay Sugumaran, Oakland University, Rochester, MI 48309, USA
  • Krishnaprasad Thirunarayan, Wright State University, USA
  • Jia Wu, East Lancs Moneyline (IPS) Ltd, UK