Strategies, Performance, and Debugging for Migrating Large-Scale Android Applications to Jetpack Compose

This article proposes a strategic, performance-aware roadmap for migrating large-scale Android applications to Jetpack Compose, Google's modern declarative UI toolkit. The migration process demands more than code translation—it requires teams to rethink UI design, state management, and testing frameworks. It synthesizes industry practices, platform tooling insights, and empirical data to evaluate three primary migration strategies: feature-based, component-based, and bottom-up. A central argument is advanced: component-based migration, when paired with early adoption of Compose-specific performance tools and semantic testing models, provides the most stable and scalable path for enterprise applications. The article details transitions from LiveData to StateFlow, Fragments to Composables, and discusses optimizations for recomposition, memory, and complex animations. Additionally, it presents debugging workflows, benchmarking techniques, and testing frameworks adapted for Compose's architecture. A real-world case study illustrates phased migration in practice. This synthesis offers a practical guide to navigating architectural, organizational, and technical trade-offs, enabling informed Compose adoption at scale.

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Publication Details

Journal
Technix International Journal for Engineering Research
Published
2025-01-01
DOI
https://doi.org/10.56975/tijer.v12i6.158521
Primary Topic
Mobile and Web Applications
Type
article
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article

Strategies, Performance, and Debugging for Migrating Large-Scale Android Applications to Jetpack Compose

Manishankar Janakaraj
Technix International Journal for Engineering Research
Mobile and Web Applications
article

Strategies, Performance, and Debugging for Migrating Large-Scale Android Applications to Jetpack Compose

Manishankar Janakaraj
article en

Abstract

This article proposes a strategic, performance-aware roadmap for migrating large-scale Android applications to Jetpack Compose, Google's modern declarative UI toolkit. The migration process demands more than code translation—it requires teams to rethink UI design, state management, and testing frameworks. It synthesizes industry practices, platform tooling insights, and empirical data to evaluate three primary migration strategies: feature-based, component-based, and bottom-up. A central argument is advanced: component-based migration, when paired with early adoption of Compose-specific performance tools and semantic testing models, provides the most stable and scalable path for enterprise applications. The article details transitions from LiveData to StateFlow, Fragments to Composables, and discusses optimizations for recomposition, memory, and complex animations. Additionally, it presents debugging workflows, benchmarking techniques, and testing frameworks adapted for Compose's architecture. A real-world case study illustrates phased migration in practice. This synthesis offers a practical guide to navigating architectural, organizational, and technical trade-offs, enabling informed Compose adoption at scale.

Technix International Journal for Engineering ResearchVol. 12(6)
Illinois Institute of Technology (US)
Reduced inequalities
Openalex Percentile: Top 81%
Mobile and Web Applications
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