Understanding and Detecting Platform-Specific Violations in Android Auto Apps
March 06, 2025 Β· Declared Dead Β· π 7th ACM/IEEE International Conference on Automation of Software Test (AST 2026) (AST '26)
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Authors
Moshood Fakorede, Umar Farooq
arXiv ID
2503.04003
Category
cs.SE: Software Engineering
Cross-listed
cs.PL
Citations
1
Venue
7th ACM/IEEE International Conference on Automation of Software Test (AST 2026) (AST '26)
Last Checked
5 months ago
Abstract
Despite over 3.5 million Android apps and 200+ million Android Auto-compatible vehicles, only a few hundred apps support Android Auto due to platform-specific compliance requirements. Android Auto mandates service-based architectures in which the vehicle system invokes app callbacks to render the UI and handle interactions, which is fundamentally different from standard Activity-based Android development. Through an empirical study analysis of 98 issues across 14 Android Auto app repositories, we identified three major compliance failure categories: media playback errors, UI rendering issues, and voice command integration failures in line with mandatory requirements for integrating Android Auto support. We introduce AutoComply, a static analysis framework capable of detecting these compliance violations through the specialized analysis of platform-specific requirements. AutoComply constructs a Car-Control Flow Graph (CCFG) extending traditional control flow analysis to model the service-based architecture of Android Auto apps. Evaluating AutoComply on 31 large-scale open-source apps, it detected 27 violations (13X more than Android Lint), while no false positives were observed, achieving 2X faster analysis. Developers have acknowledged 14 of these violations with 8 fixes already implemented, validating AutoComply's practical effectiveness.
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