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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.

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Title Footprints of fitness functions in search-based software testing
Author(s) Oliveira, Carlos
Li, Yuan-Fang
Aleti, Aldeida
Abdelrazek, MohamedORCID iD for 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
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30130407

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Created: Mon, 14 Oct 2019, 07:43:21 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.