Evolving JavaScript code to reduce load time

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@Article{deAlmeidaFarzat:ieeeTSE,

• author = "Fabio {de A. Farzat} and Marcio {de O. Barros} and Guilherme H. Travassos",
• title = "Evolving {JavaScript} code to reduce load time",
• journal = "IEEE Transactions on Software Engineering",
• year = "2021",
• volume = "47",
• number = "8",
• pages = "1544--1558",
• month = aug,
• keywords = "genetic algorithms, genetic programming, genetic improvement, Software, JavaScript, source code improvement, local search",
• ISSN = "2326-3881",
• DOI = "doi:10.1109/TSE.2019.2928293",
• size = "14 pages",
• abstract = "JavaScript is one of the most used programming languages for front-end development of Web applications. The increase in complexity of front-end features brings concerns about performance, especially the load and execution time of JavaScript code. In this paper, we propose an evolutionary program improvement technique to reduce the size of JavaScript programs and, therefore, the time required to load and execute them in Web applications. To guide the development of such technique, we performed an experimental study to characterize the patches applied to JavaScript programs to reduce their size while keeping the functionality required to pass all test cases in their test suites. We applied this technique to 19 JavaScript programs varying from 92 to 15602 lines of code and observed reductions from 0.2percent to 73.8percent of the original code, as well as a relationship between the quality of a programs test suite and the ability to reduce the size of its source code.",
• notes = "Also known as \cite{8762190}",

}

Genetic Programming entries for Fabio de Almeida Farzat Marcio de Oliveira Barros Guilherme Horta Travassos

Citations