Artificial intelligence applications for improved software engineering development : new prospects /

"This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.

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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Meziane, Farid; Vadera, Sunil.
Published: IGI Global,
Publisher Address: Hershey, Pa. :
Publication Dates: 2010.
Literature type: eBook
Language: English
Subjects:
Online Access: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-758-4
Summary: "This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.
Carrier Form: PDFs (xxii, 346 pages) : illustrations
Bibliography: Includes bibliographical references (pages 300-335) and index.
ISBN: 9781605667591 (ebook)
1605667595 (ebook)
Access: Restricted to subscribers or individual electronic text purchasers.
Index Number: QA76
CLC: TP311.52
Contents: Section 1. Project management and cost estimation -- Chapter 1. Software project and quality modelling using Bayesian networks / Norman Fenton, Peter Hearty, Martin Neil, Lukasz Radlinski -- Chapter 2. Using Bayesian networks for web effort estimation /
Section 2. Requirements engineering and specification -- Chapter 5. From textual scenarios to message sequence charts / Leonid Kof -- Chapter 6. A Bayesian network for predicting the need for a requirements review / Jos e del Sagrado Mart inez, Isabel M
Section 3. Software design and implementation -- Chapter 9. An intelligent computational argumentation system for supporting collaborative software development decision making / Xiaoqing (Frank) Liu, Ekta Khudkhudia, Lei Wen, Vamshi Sajja, Ming C. Leu -
Section 4. Software testing and maintenance -- Chapter 11. Constraint-based techniques for software testing / Nikolai Kosmatov -- Chapter 12. Computational intelligence for functional testing / C. Peng Lam -- Chapter 13. Mining past-time temporal rules: