Automatic Generation of Combinatorial Test Data / by Jian Zhang, Zhiqiang Zhang, Feifei Ma.

Format:

Book

Author/Creator:

Zhang, Jian, author.

Zhang, Zhiqiang, author.

Ma, Feifei, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

SpringerBriefs in computer science 2191-5768

SpringerBriefs in Computer Science, 2191-5768

Language:

English

Subjects (All):

Software engineering.

Computer science--Mathematics.

Artificial intelligence.

Software Engineering.

Math Applications in Computer Science.

Artificial Intelligence.

Local Subjects:

Software Engineering.

Math Applications in Computer Science.

Artificial Intelligence.

Physical Description:

1 online resource (XI, 90 pages) : 31 illustrations.

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - including algebraic construction, greedy methods, evolutionary computation, constraint solving and optimization - and explains major algorithms with examples. In addition, the book lists a number of test generation tools, as well as benchmarks and applications. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation.

Contents:

Introduction to Combinatorial Testing

Mathematical Construction Methods

One Test at a Time

The IPO Family

Evolutionary Computation and Metaheuristics

Tools and Benchmarks

Other Related Topics.

Other Format:

Printed edition:

ISBN:

978-3-662-43429-1

9783662434291

Access Restriction:

Restricted for use by site license.