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...
| Други автори: | Last, Mark., Kandel, Abraham., Bunke, Horst. |
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| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Singapore ; River Edge, NJ :
World Scientific,
℗♭2004.
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| Серия: |
Series in machine perception and artificial intelligence ;
v. 56. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235575 |
| Подобни документи: |
Print version::
Artificial intelligence methods in software testing. |
| Резюме: |
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. |
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| Физически характеристики: |
1 online resource (xi, 208 pages) : illustrations. |
| Библиография: |
Includes bibliographical references. |
| ISBN: |
9789812794758 9812794751 |