Luis Felipe Henao López, M. Martínez, Albeiro Espinosa Bedoya
{"title":"A Suite of Metrics for Evaluating Client-Side web Applications: An Empirical Validation","authors":"Luis Felipe Henao López, M. Martínez, Albeiro Espinosa Bedoya","doi":"10.1109/CLEI52000.2020.00023","DOIUrl":null,"url":null,"abstract":"Currently the web software development of the client-side is growing fast. This has made JavaScript-based software and related tools grow fast too. However, this growth makes more evident the need to develop applications with a higher level of quality. This paper aims to identify a suite of quality metrics used in software development using JavaScript from a review of the literature on the subject. The analysis of the literature shown a total of 26 metrics identified without a clear domain of some of them. A validation with experienced JavaScript programmers shows that the Metrics of Maintainability, Linters, Number of Functions and Average Data Refresh as the most relevant.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 XLVI Latin American Computing Conference (CLEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEI52000.2020.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Currently the web software development of the client-side is growing fast. This has made JavaScript-based software and related tools grow fast too. However, this growth makes more evident the need to develop applications with a higher level of quality. This paper aims to identify a suite of quality metrics used in software development using JavaScript from a review of the literature on the subject. The analysis of the literature shown a total of 26 metrics identified without a clear domain of some of them. A validation with experienced JavaScript programmers shows that the Metrics of Maintainability, Linters, Number of Functions and Average Data Refresh as the most relevant.