RT Journal Article T1 A formal approach to automatically analyse extra-functionalproperties in mobile applications. A1 Espada Sandi, Ana Rosario A1 Gallardo-Melgarejo, María del Mar A1 Salmerón, Alberto A1 Panizo-Jaime, Laura A1 Merino-Gómez, Pedro K1 Programas de aplicación - Desarrollo K1 Soporte lógico - Verificación AB This paper presents an integrated approach for testing mobile applications (apps) against a set of extra-functional properties to be used by app developers. The approach starts with the (manual or automatic)extraction of the interaction model, that is, a formal model of the potential user interactions with the app.The model is constructed to allow a model checking tool to exhaustively extract the so-called app user flows, that is, the sequences of user actions, that constitute the test cases. In the final step, the app user flows are executed on the app running on real devices. The resulting execution traces are enriched with different measures and verified against a set of extra-functional properties of interest. The approach has been adapted to analyse several applications running at the same time with several devices supporting the applications.This paper presents the definition and formalization of both the modelling language for the interaction model and the specification language to represent the extra-functional properties. It also describes a methodology for automatically extracting the model. Finally, it presents an implementation focused on Android apps, which is integrated in the TRIANGLE testing framework, and the evaluation of the approach. PB Wiley YR 2019 FD 2019-06-14 LK https://hdl.handle.net/10630/31080 UL https://hdl.handle.net/10630/31080 LA eng NO Rosario Espada A, del Mar Gallardo M, Salmerón A, Panizo L, Merino P. A formal approach to automatically analyse extra-functional properties in mobile applications. Softw Test Verif Reliab. 2019; 29:e1699. https://doi.org/10.1002/stvr.1699 NO Work is partially supported by the Spanish Ministry of Economy and Competitiveness projectTIN2015-67083-R. This project has received funding from the European Union’s Horizon 2020research and innovation programme under grant agreement no. 688712 (TRIANGLE project). DS RIUMA. Repositorio Institucional de la Universidad de Málaga RD 24 ene 2026