Demystifying App Performance Optimization: From Cold Starts to Seamless Transitions
DOI:
https://doi.org/10.32628/CSEIT251112366Keywords:
Android performance optimization, app responsiveness metrics, memory management strategies, mobile application efficiency, user experience optimizationAbstract
This comprehensive article explores the critical aspects of mobile application performance optimization, focusing on the relationship between technical efficiency and user satisfaction. The article examines various performance metrics, including latency, frame rates, memory usage, and cold start times, while analyzing their impact on user engagement and business outcomes. Through detailed explanation of common performance challenges and optimization strategies, the article provides insights into effective development practices, testing methodologies, and resource management approaches. The article combines empirical data from multiple studies to demonstrate the significance of systematic performance optimization in mobile application development, offering practical solutions for developers and stakeholders to enhance application performance across different operational scenarios.
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Soo Ling Lim, et al., "Investigating Country Differences in Mobile App User Behavior and Challenges for Software Engineering," IEEE Transactions on Software Engineering ( Volume: 41, Issue: 1, 01 January 2015), 29 September 2014. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/6913003
Fildzah Waalidein Syukron, et al., "Exploring User Experience in Mobile Applications: A Systematic Literature Review," 11th International Conference on Cyber and IT Service Management (CITSM), 2024. [Online]. Available: https://ieeexplore.ieee.org/document/10455498
Bin Liu, et al., "DECAF: Detecting and Characterizing Ad Fraud in Mobile Apps," Proceedings of the 11th USENIX Symposium on Networked Systems, Design and Implementation (NSDI ’14), 2014. [Online]. Available: https://www.usenix.org/system/files/conference/nsdi14/nsdi14-paper-liu_bin.pdf
Kevin Allix, et al., "AndroZoo: Collecting Millions of Android Apps for the Research Community," Mining Software Repositories (MSR), 2016. [Online]. Available: https://androzoo.uni.lu/static/papers/androzoo-msr.pdf
Xuetao Wei, et al., "ProfileDroid: Multi-layer Profiling of Android Applications," In Proceedings of the 18th annual international conference on Mobile computing and networking (Mobicom '12), Istanbul, Turkey, 2012, pp. 137-148. [Online]. Available: https://www.cs.ucr.edu/~neamtiu/pubs/mobicom12wei.pdf
Yongjian Hu, et al.,, "Versatile yet lightweight record-and-replay for Android," OOPSLA 2015: Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, 2015. [Online]. Available: https://dl.acm.org/doi/10.1145/2814270.2814320
Shengqian Yang, et al., "Static Control-Flow Analysis of User-Driven Callbacks in Android Applications," Program Analyses and Software Tools (PRESTO) Research Group, 2015. [Online]. Available: https://people.cs.vt.edu/~ryder/6304/lectures/11-RountevEtAL-Control-FlowAnalysisCall-backs-ICSE2015-JasonSong.pdf
Yongin Kwon, et al., "Mantis: Automatic Performance Prediction for Smartphone Applications," USENIX Annual Technical Conference 2013. [Online]. Available: https://www.cis.upenn.edu/~mhnaik/papers/atc13.pdf
Abhinav Pathak, et al., "Where is the energy spent inside my app? Fine Grained Energy Accounting on Smartphones with Eprof," In Proceedings of the 7th ACM European Conference on Computer Systems (EuroSys '12), Bern, Switzerland, 2012, pp. 29-42. [Online]. Available: https://epic.org/wp-content/uploads/privacy/location_privacy/Smartphone%20batter%20life%20and%20apps.pdf
Xin Chen, et al., "DroidJust: Automated Functionality-Aware Privacy Leakage Analysis for Android Applications," In Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks (WiSec '15), New York, NY, USA, 2015, pp. 1-12. [Online]. Available: https://www.cse.psu.edu/~sxz16/papers/DroidJust.pdf
Yepang Liu, et al., "Characterizing and Detecting Performance Bugs for Smartphone Applications," In Proceedings of the 36th International Conference on Software Engineering (ICSE '14), Hyderabad, India, 2014, pp. 1013-1024. [Online]. Available: http://castle.cse.ust.hk/andrewust/files/ICSE2014.pdf
Mario Linares-Vásquez, et al., "Mining Energy-Greedy API Usage Patterns in Android Apps: An Empirical Study," In Proceedings of the 11th Working Conference on Mining Software Repositories (MSR '14), Hyderabad, India, 2014, pp. 2-11. [Online]. Available: https://www.cs.wm.edu/~denys/pubs/MSR14-Android-energy-CRC.pdf
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