Automatic Generation of Combinatorial Test Data
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, evolutionar
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Jian Zhang Zhiqiang Zhang Feifei Ma
Automatic Generation of Combinatorial Test Data
SpringerBriefs in Computer Science Series editors Stan Zdonik, Brown University, Providence, USA Shashi Shekhar, University of Minnesota, Minneapolis, USA Jonathan Katz, University of Maryland, College Park, USA Xindong Wu, University of Vermont, Burlington, USA Lakhmi C. Jain, University of South Australia, Adelaide, Australia David Padua, University of Illinois Urbana-Champaign, Urbana, USA Xuemin (Sherman) Shen, University of Waterloo, Waterloo, Canada Borko Furht, Florida Atlantic University, Boca Raton, USA V.S. Subrahmanian, University of Maryland, College Park, USA Martial Hebert, Carnegie Mellon University, Pittsburgh, USA Katsushi Ikeuchi, University of Tokyo, Tokyo, Japan Bruno Siciliano, Università di Napoli Federico II, Napoli, Italy Sushil Jajodia, George Mason University, Fairfax, USA Newton Lee, Newton Lee Laboratories, LLC, Tujunga, USA
More information about this series at http://www.springer.com/series/10028
Jian Zhang Zhiqiang Zhang Feifei Ma •
Automatic Generation of Combinatorial Test Data
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Jian Zhang Zhiqiang Zhang Feifei Ma Institute of Software Chinese Academy of Sciences Beijing China
ISSN 2191-5768 ISBN 978-3-662-43428-4 DOI 10.1007/978-3-662-43429-1
ISSN 2191-5776 (electronic) ISBN 978-3-662-43429-1 (eBook)
Library of Congress Control Number: 2014948067 Springer Heidelberg New York Dordrecht London © The Author(s) 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any error
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