IJBTT

Optimizing A/B Testing in React Native Mobile Apps: A Comparative Analysis of Forced Variant Selection Methods
	© 2024 by IJCTT Journal
	Volume-72 Issue-10
	Year of Publication : 2024
	Authors : Vikyath Halgudde Keshava Murthy Gowda
	DOI :  10.14445/22312803/IJCTT-V72I10P126

How to Cite?

Vikyath Halgudde Keshava Murthy Gowda, "Optimizing A/B Testing in React Native Mobile Apps: A Comparative Analysis of Forced Variant Selection Methods," International Journal of Computer Trends and Technology, vol. 72, no. 10, pp. 192-198, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I10P126

Abstract
A/B testing is a crucial strategy for optimizing mobile app performance and user experience. This paper focuses on methods to force specific variants in A/B tests for React Native mobile apps in a production environment. The study explores implementation techniques, best practices, and strategies to effectively control variant assignment, enabling thorough testing and validation before full-scale deployment.

Keywords
A/B testing, environment variables, feature flags, mobile apps, react native, test variant menus, URL parameters, variant control.

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