Investigating the Evolvability of Web Page Load Time 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8612
- @InProceedings{Cody-Kenny:2018:evoApplications,
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  author =       "Brendan Cody-Kenny and Umberto Manganiello and 
John Farrelly and Adrian Ronayne and Eoghan Considine and 
Thomas McGuire and Michael O'Neill",
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  title =        "Investigating the Evolvability of Web Page Load Time",
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  booktitle =    "21st International Conference on the Applications of
Evolutionary Computation, EvoSET 2018",
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  year =         "2018",
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  editor =       "Anna I. Esparcia-Alcazar and Sara Silva",
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  series =       "LNCS",
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  volume =       "10784",
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  publisher =    "Springer",
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  pages =        "769--777",
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  address =      "Parma, Italy",
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  month =        "4-6 " # apr,
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  organisation = "Species",
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  keywords =     "genetic algorithms, genetic programming, genetic
improvement, Search-based software engineering, SBSE,
Javascript, Performance, Web applications",
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  isbn13 =       "978-3-319-77537-1",
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  URL =          " https://arxiv.org/pdf/1803.01683", https://arxiv.org/pdf/1803.01683",
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  DOI =          " 10.1007/978-3-319-77538-8_51", 10.1007/978-3-319-77538-8_51",
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  size =         "9 pages",
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  abstract =     "Client-side Javascript execution environments
(browsers) allow anonymous functions and event-based
programming concepts such as callbacks. We investigate
whether a mutate-and-test approach can be used to
optimise web page load time in these environments.
First, we characterise a web page load issue in a
benchmark web page and derive performance metrics from
page load event traces.We parse Javascript source code
to an AST and make changes to method calls which appear
in a web page load event trace.We present an operator
based solely on code deletion and evaluate an existing
community-contributed performance optimising code
transform. By exploring Javascript code changes and
exploiting combinations of non-destructive changes, we
can optimise page load time by 41percent in our
benchmark web page.",
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  notes =        "EvoApplications2018 held in conjunction with
EuroGP'2018 EvoCOP2018 and EvoMusArt2018
http://www.evostar.org/2018/cfp_evoapps.php",
- }
Genetic Programming entries for 
Brendan Cody-Kenny
Umberto Manganiello
John Farrelly
Adrian Ronayne
Eoghan Considine
Thomas McGuire
Michael O'Neill
Citations
