Footprints of fitness functions in search-based software testing Oliveira, Carlos, Li, Yuan-Fang, Aleti, Aldeida and Abdelrazek, Mohamed 2019, Footprints of fitness functions in search-based software testing, in GECCO 2019 : Proceedings of the 2019 Genetic and Evolutionary Computation Conference, ACM, New York, N.Y., pp. 1399-1407, doi: 10.1145/3321707.3321880. Attached Files Name Description MIMEType Size Downloads Title Footprints of fitness functions in search-based software testing Author(s) Oliveira, Carlos Li, Yuan-Fang Aleti, Aldeida Abdelrazek, Mohamed orcid.org/0000-0003-3812-9785 Conference name Genetic and Evolutionary Computation. Conference (2019 : Prague, Czech Republic) Conference location Prague, Czech Republic Conference dates 2019/07/13 - 2019/07/17 Title of proceedings GECCO 2019 : Proceedings of the 2019 Genetic and Evolutionary Computation Conference Publication date 2019 Start page 1399 End page 1407 Total pages 9 Publisher ACM Place of publication New York, N.Y. Keyword(s) Search Based Software Engineering Genetic Algorithms ISBN 9781450361118 Language eng DOI 10.1145/3321707.3321880 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30130407 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 03 Oct 2019, 08:40:37 EST Fri, 04 Oct 2019, 05:00:28 EST Fri, 04 Oct 2019, 08:05:35 EST Mon, 14 Oct 2019, 07:43:21 EST Tue, 15 Oct 2019, 05:02:40 EST Fri, 25 Oct 2019, 12:24:50 EST Fri, 25 Oct 2019, 12:27:59 EST Fri, 24 Apr 2020, 18:36:50 EST Sat, 06 Jun 2020, 02:30:10 EST Sun, 28 Feb 2021, 14:36:22 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 212 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 14 Oct 2019, 07:43:21 EST

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