Demystifying App Performance Optimization: From Cold Starts to Seamless Transitions

Arth Patel

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 1, 3287-3294

Abstract: 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.

Keywords: Android performance optimization; app responsiveness metrics; memory management strategies; mobile application efficiency; user experience optimization (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112366
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT251112366 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT251112366/CSEIT251112366 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v11:y2025:i1:id:1007

DOI: 10.32628/CSEIT251112366

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().