1.

Record Nr.

UNINA9910298983803321

Autore

Zhang Jian

Titolo

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

Pubbl/distr/stampa

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

ISBN

3-662-43429-6

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (97 p.)

Collana

SpringerBriefs in Computer Science, , 2191-5768

Disciplina

004

004.0151

005.1

006.3

Soggetti

Software engineering

Computer science—Mathematics

Artificial intelligence

Software Engineering

Math Applications in Computer Science

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction to Combinatorial Testing -- Mathematical Construction Methods -- One Test at a Time -- The IPO Family -- Evolutionary Computation and Metaheuristics -- Evolutionary Computation and Metaheuristics -- Tools and Benchmarks -- Other Related Topics.

Sommario/riassunto

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.