Design and analysis of different alternating variable searches for search-based software testing

Kempka, J., McMinn, P. and Sudholt, D. (2015) Design and analysis of different alternating variable searches for search-based software testing. Theoretical Computer Science, 605. pp. 1-20. ISSN 0304-3975

Abstract

Metadata

Authors/Creators:
  • Kempka, J.
  • McMinn, P.
  • Sudholt, D.
Copyright, Publisher and Additional Information: © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Search-based software engineering; Test data generation; Local search; Runtime analysis; Theory
Dates:
  • Published: 9 November 2015
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Jan 2016 16:16
Last Modified: 20 Jan 2016 16:16
Published Version: http://dx.doi.org/10.1016/j.tcs.2014.12.009
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.tcs.2014.12.009

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