{"title":"移动应用开发工具性能的定量评估","authors":"M. Willocx, Jan Vossaert, Vincent Naessens","doi":"10.1109/MobServ.2015.68","DOIUrl":null,"url":null,"abstract":"The popularity and maturity of mobile cross-platform tools increased considerably during the last years. They can be used to increase the efficiency during the development cycle of mobile applications. Although it is common knowledge that cross-platform tools come with a performance penalty, the size of the overhead is unclear. Our study targets the assessment of two representative cross-platform tools. This paper presents a quantitative performance analysis that is applied to a non-trivial, multi-screen app. Relevant performance properties on both low-end and high-end devices are evaluated and compared to a native Android and iOS implementation. We further reflect about the impact of the results on the user acceptance and experience, and define guidelines for the selection of a particular tool.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"A Quantitative Assessment of Performance in Mobile App Development Tools\",\"authors\":\"M. Willocx, Jan Vossaert, Vincent Naessens\",\"doi\":\"10.1109/MobServ.2015.68\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The popularity and maturity of mobile cross-platform tools increased considerably during the last years. They can be used to increase the efficiency during the development cycle of mobile applications. Although it is common knowledge that cross-platform tools come with a performance penalty, the size of the overhead is unclear. Our study targets the assessment of two representative cross-platform tools. This paper presents a quantitative performance analysis that is applied to a non-trivial, multi-screen app. Relevant performance properties on both low-end and high-end devices are evaluated and compared to a native Android and iOS implementation. We further reflect about the impact of the results on the user acceptance and experience, and define guidelines for the selection of a particular tool.\",\"PeriodicalId\":166267,\"journal\":{\"name\":\"2015 IEEE International Conference on Mobile Services\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Mobile Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MobServ.2015.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Mobile Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MobServ.2015.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Quantitative Assessment of Performance in Mobile App Development Tools
The popularity and maturity of mobile cross-platform tools increased considerably during the last years. They can be used to increase the efficiency during the development cycle of mobile applications. Although it is common knowledge that cross-platform tools come with a performance penalty, the size of the overhead is unclear. Our study targets the assessment of two representative cross-platform tools. This paper presents a quantitative performance analysis that is applied to a non-trivial, multi-screen app. Relevant performance properties on both low-end and high-end devices are evaluated and compared to a native Android and iOS implementation. We further reflect about the impact of the results on the user acceptance and experience, and define guidelines for the selection of a particular tool.