Investigating the Evolvability of Web Page Load Time

Autor:	John Farrelly, Umberto Manganiello, Eoghan Considine, Brendan Cody-Kenny, Michael O'Neill, Adrian Ronayne, Thomas McGuire
Rok vydání:	2018
Předmět:	Source code Computer science Programming language Event (computing) business.industry media_common.quotation_subject JavaScript computer.software_genre Anonymous function Web page Benchmark (computing) Callback Web application business computer computer.programming_language media_common
Zdroj:	Applications of Evolutionary Computation ISBN: 9783319775371 EvoApplications
Popis:	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 41% in our benchmark web page.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fe6f04506f9f2778d2eb5a2a22bf99cf https://doi.org/10.1007/978-3-319-77538-8_51 Zobrazit plný text záznamu