CAMS-F: Extending the Context-Aware Mobile Systems Framework for Cross-Platform Development with Flutter, Firebase, and Google Maps

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cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedNO
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeObjeto de conferencia
cic.versionAceptada
dc.date.accessioned2026-03-20T12:25:05Z
dc.date.available2026-03-20T12:25:05Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12674
dc.titleCAMS-F: Extending the Context-Aware Mobile Systems Framework for Cross-Platform Development with Flutter, Firebase, and Google Mapsen
dc.typeDocumento de conferencia
dcterms.abstractThe growing complexity of mobile ecosystems demands frameworks that simultaneously address cross-platform compatibility (iOS, Android, and web) and advanced context-awareness. This paper presents CAMS-F, an evolution of the Context-Aware Mobile Systems (CAMS) framework, which integrates Model-Driven Development (MDD) with modern cloud services to overcome existing limitations in the development of multiplatform context-aware applications. CAMS-F introduces three key innovations: a domain-specific language (DSL) for declarative context modeling with automated Flutter/Dart code generation; native integration of essential cloud services, including Firebase Firestore for real-time data management, Firebase Cloud Messaging for notifications, and Google Maps API for high-precision geolocation; and Infrastructure-as-Code (IaC) deployment via Terraform or Pulumi for reproducible and scalable cloud provisioning. A logistics case study was conducted to validate the framework's capabilities. The results demonstrate a 35% reduction in development time compared to native approaches, real-time adaptation to IoT sensor data with latencies below two seconds, scalability to support 10,000 concurrent devices, and geolocation accuracy of up to 98% under operational conditions. These outcomes position CAMS-F as a viable and efficient solution for domains requiring robust cross-platform context processing, including smart city infrastructure, logistics optimization, and real-time monitoring systems. By combining enhanced developer productivity through MDD with high operational performance via optimized cloud integration, CAMS-F addresses critical gaps in current cross-platform development paradigms.en
dcterms.creator.authorHerrera Herrera, Nelson
dcterms.creator.authorRivera, Richard
dcterms.creator.authorGomez-Torres, Estevan
dcterms.creator.authorChalliol, Cecilia
dcterms.isPartOf.seriesFuture Technologies Conference 2025 (Alemania, 6 al 7 de noviembre de 2025)
dcterms.issued2025
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0)
dcterms.subjectContext-Aware Systemsen
dcterms.subjectCross-Platform Developmenten
dcterms.subjectFlutter Frameworken
dcterms.subjectModel-Driven Developmenten
dcterms.subjectCloud-Native Applicationsen
dcterms.subjectIoT Integrationen
dcterms.subjectDomain-Specific Languagesen
dcterms.subjectInfrastructure as Codeen
dcterms.subject.materiaCiencias de la Computación e Información

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