Analysis of the performance of iOS applications developed using native and cross-platform technology.

Author:

Michałowski Marcin,Skublewska-Paszkowska Maria

Abstract

Study presented in this paper concerns the comparative analysis of the performance of iOS applications developed using native and cross-platform technologies. For the purpose of the research, two iOS applications were implemented:  the first one was created using the Swift programming language, while the second one using Flutter technology. For both applications, a set of research scenarios was defined, which assumed the examination of the time of execution and CPU consumption during the execution of operations, such as: sorting integers, writing and reading string from a file or writing and reading records from the SQLite database. The conducted analysis showed that it is not possible to clearly state which application is more efficient in terms of execution time and CPU consumption, because they obtained divergent results for different research scenarios. The native application performed better for file and database operations, while the cross-platform one obtained lower time and CPU consumption when sorting numbers.

Publisher

Politechnika Lubelska

Subject

Polymers and Plastics,General Environmental Science

Reference11 articles.

1. M. Napoli, Beginning Flutter: A Hands On Guide to App Development, John Wiley & Sons, 2019

2. Mobile & Tablet Operating System Market Share Worldwide https://gs.statcounter.com/os-market-share/mobile-tablet/worldwide/#daily-20220107-20220107-bar [08.01.2022]

3. Cross-platform mobile frameworks used by software developers worldwide from 2019 to 2021 "https://www.statista.com/statistics/869224/worldwide-software-developer-working-hours/" [dostęp: 10.01.2022]

4. Fuchsia OS Official Site https://fuchsia.dev/ [08.01.2022]

5. M. Olsson, A Comparison of Performance and Looks Between Flutter and Native Applications: When to prefer Flutter over native in mobile application development, Blekinge Institute of Technology, 2020.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3