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Title Artificial intelligence methods in software testing / editors, Mark Last, Abraham Kandel, Horst Bunke.

Publication Info. Singapore ; River Edge, NJ : World Scientific, [2004]
©2004
Online access
Online eBook. Access restricted to current Rider University students, faculty, and staff.
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Item Status

Description 1 online resource (xi, 208 pages) : illustrations.
Physical Medium polychrome
Description text file
Series Series in machine perception and artificial intelligence ; v. 56
Series in machine perception and artificial intelligence ; v. 56.
Bibliography Includes bibliographical references.
Summary An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area. Contents: Fuzzy Cause-Effect Models of Software Testing (W Pedrycz & G Vukovich); Black-Box Testing with Info-Fuzzy Netw.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Computer software -- Testing.
Computer software -- Testing.
Computer software.
Artificial intelligence.
Artificial intelligence.
Computer software -- Quality control.
Computer software -- Quality control.
Genre/Form Electronic books.
Added Author Last, Mark.
Kandel, Abraham.
Bunke, Horst, 1949-
Other Form: Print version: Artificial intelligence methods in software testing. Singapore ; River Edge, NJ : World Scientific, ©2004 9812388540 9789812388544 (DLC) 2006278039 (OCoLC)56594965
ISBN 9789812794758 (electronic book)
9812794751 (electronic book)
9812388540

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