Artificial intelligence methods in software testing /:

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 applicat...

Full description

Saved in:
Bibliographic Details
Other Authors: Last, Mark, Kandel, Abraham, Bunke, Horst, 1949-
Format: Electronic eBook
Language:English
Published: Singapore ; River Edge, NJ : World Scientific, ©2004.
Series:Series in machine perception and artificial intelligence ; v. 56.
Subjects:
Online Access:DE-862
DE-863
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.
Physical Description:1 online resource (xi, 208 pages) : illustrations
Bibliography:Includes bibliographical references.
ISBN:9789812794758
9812794751
9789812388544
9812388540

There is no print copy available.

Get full text