Artificial Intelligence Methods In Software Testing

By: Mark Last (Editor), Abraham Kandel (Editor), Horst Bunke (Editor)

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Hardcover | 4 June 2004

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Hardcover
222 Pages

Dimensions(cm)
22.86 x 15.24 x 1.42

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Programming & Software Development Software Engineering Databases Data Mining Booktopia Publisher Services World Scientific Publishing

Fuzzy cause - effect models of software testing	p. 1
Black-box testing with info-fuzzy networks	p. 21
Automated GUI regression testing using AI planning	p. 51
Test set generation and reduction with artificial neural networks	p. 101
Three-group software quality classification modeling using an automated reasoning approach	p. 133
Data mining with resampling in software metrics databases	p. 175
Table of Contents provided by Blackwell. All Rights Reserved.

Artificial Intelligence Methods In Software Testing

At a Glance

Hardcover

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How to return your order

Defective items

You Can Find This Book In

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