ACCELERATING UI LOADING WITH JETPACK COMPOSE: A PERFORMANCE IMPROVEMENT GUIDE
Keywords:
Jetpack Compose, Performance Optimization, Mobile UI Development, State Management, Android Testing FrameworksAbstract
This article provides a practical guide to improving performance in Android applications using Jetpack Compose. It addresses key challenges developers face when building smooth, responsive user interfaces across various device categories. The article explores essential optimization strategies including efficient list rendering through lazy layouts, animation performance tuning, state management techniques, and comprehensive testing approaches. Drawing from real-world implementations and research findings, the article presents proven methods for reducing memory usage, improving frame rates, and enhancing user experience. The article covers both basic optimizations and advanced techniques, offering developers concrete strategies to build high-performance applications that work well across different Android devices.
References
Puneet Kumar Aggarwal, P. S. Grover, et al., "A Performance Evaluation Model for Mobile Applications," 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) 2019. Available: https://ieeexplore.ieee.org/abstract/document/8777497
Leo Wahlandt and Anton Brännholm, "A Comparative Analysis of Jetpack Compose and XML Views," Department of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden, Technical Report, Dec. 2023. Available: https://www.diva-portal.org/smash/get/diva2:1882122/FULLTEXT01.pdf
Venkata Naga Sai Kiran Challa, "Comprehensive Analysis of Modern Application Rendering Strategies: Enhancing Web and Mobile User Experiences," Journal of Engineering and Applied Sciences Technology 2024. Available: https://onlinescientificresearch.com/articles/comprehensive-analysis-of-modern-application-rendering-strategies-enhancing-web-and-
mobile-user-experiences.pdf
Puneet Kumar Aggarwal, P. S. Grover, et al., "A Performance Evaluation Model for Mobile Applications," 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019. Available: https://ieeexplore.ieee.org/abstract/document/8777497
Naga Satya Praveen Kumar Yadati, "Enhancing Android App Performance: Practical Strategies for Developers," International Journal of Science and Research (IJSR) ISSN: 2319-7064. Available: https://www.ijsr.net/archive/v13i6/SR24629221409.pdf
Abhijeet K. et al., "Memory Management in Mobile OS," Ijraset Journal For Research in Applied Science and Engineering Technology, 2024. Available: https://www.ijraset.com/research-paper/memory-management-in-mobile-os
Andreas Biørn-Hansen, et al., "Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance," Sensors, vol. 19, no. 9, pp. 2081, 2019. Available: https://www.mdpi.com/1424-8220/19/9/2081
Zhiguo Hong, Yongbin Wang, et al., "DTMC-Based Performance Evaluation of Animation Rendering Node," 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD) 2017. Available: https://ieeexplore.ieee.org/document/7917018
Antti Oulasvirta, Niraj Ramesh, et al., "Combinatorial Optimization of Graphical User Interface Designs," IEEE International Conference on Software Architecture (ICSA), Salvador, Brazil, 2020, pp. 242-251, Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9000519
Jesenka Pibernik, Jurica, et al., "Mobile-Application Loading-Animation Design and Implementation Optimization," Applied Sciences, vol. 13, no. 2, p. 865, 2023. Available: https://www.mdpi.com/2076-3417/13/2/865
Benjamin Ronneling, "Performance analysis of SwiftUI and UIKit," KTH Royal Institute of Technology, Stockholm, Sweden, 2023. Available: https://kth.diva-portal.org/smash/get/diva2:1789094/FULLTEXT01.pdf
Niel Lebeck, Arvind Krishnamurthy, et al., "End the Senseless Killing: Improving Memory Management for Mobile Operating Systems," In 2020 USENIX Annual Technical Conference (USENIX ATC 20), pp. 873-887, 2020. Available: https://www.usenix.org/system/files/atc20-lebeck.pdf
P. Evergreen, "Selecting A State Management Strategy For Modern Web Frontend Applications," Faculty of Information Technology and Communication Sciences (ITC), Master’s thesis, April 2023. Available: https://trepo.tuni.fi/bitstream/handle/10024/148362/EvergreenProsper.pdf
S.S. Foster, D. Moore et al., "Performance tuning mobile agent workflow applications," IEEE Proceedings of Technology of Object-Oriented Languages and Systems - TOOLS 30 (Cat. No.PR00278), 2002. Available: https://ieeexplore.ieee.org/document/787531
Marcus Norberto, Lukas Gaedicke, et al., "Performance Testing in Mobile Application: a Systematic Literature Map," SBQS '19: Proceedings of the XVIII Brazilian Symposium on Software Quality 2019. Available: https://dl.acm.org/doi/10.1145/3364641.3364653
Vivek Basavegowda Ramu, "Performance Testing and Optimization Strategies for Mobile Applications," International Journal of P2P Network Trends and Technology, Volume 13 Issue 2, 1-6, May-Aug 2023. Available: https://www.researchgate.net/publication/372683916
Mustafa Abdul Salam, Sanaa Taha, et al., "Advanced Framework for Automated Testing of Mobile Applications," 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2022. Available: https://ieeexplore.ieee.org/document/9942374
Mokhamd Hendayun, et al., "Analysis Of Application Performance Testing Using Load Testing And Stress Testing Methods In Api Service," Jurnal Sisfotek Global, Vol. 13, No. 1, March 2023, pp. 28-34. Available: https://www.researchgate.net/publication/369723924
