Using Model Checking to Generate Test Cases for Android Applications

Abstract

The behavior of mobile devices is highly non deterministic and barely predictable due to the interaction of the user with its applications. In consequence, analyzing the correctness of applications running on a smartphone involves dealing with the complexity of its environment. In this paper, we propose the use of model-based testing to describe the potential behaviors of users interacting with mobile applications. These behaviors are modeled by composing specially-designed state machines. These composed state machines can be exhaustively explored using a model checking tool to automatically generate all possible user interactions. Each generated trace model checker can be interpreted as a test case to drive a runtime analysis of actual applications. We have implemented a tool that follows the proposed methodology to analyze ANDROID devices using the model checker SPIN as the exhaustive generator of test cases.

Performance Analysis of Spotify® for Android with Model-Based Testing

“…Compared with our previous work reported in [4,5], this paper presents three main novelties: (1) we focus on network traffic, and we introduce statistical variables in the extra-functional properties, while in our previous work we only focused on energy measurements, where only real values provided by external equipment was considered and no statistics were required; (2) we present MVE as an integrated tool with all the steps that in previous work were only partially implemented but not integrated, and (3) we use a new case of study, Spotify for Android, which has a major impact on mobile traffic today.…”

“…This heterogeneous information is synchronized and gathered together in a single rich trace which can then be analyzed on-the-fly with techniques rooted in formal methods [3,4].…”

“…The test is then executed running the UiAutomator command line tool on the Android device, with the uploaded file as a parameter. Test case generation and execution summarized here is described in more detail in [4].…”

Proposta De Ambientes Inteligentes Iot Sob a Ótica Da Eficiência Energética

“…O Teste Baseado em Modelo (Model-Based Testing -MBT) é uma técnica de teste para a geração automática de casos de teste utilizando modelos extraídos a partir dos requisitos de software. Para utilizar MBT é necessário definir a especificação do software por meio de modelos em um formato apropriado para a automação das atividades de teste (PRETSCHNER, 2005 (ESPADA et al, 2015).…”

Guided test case generation for mobile apps in the TRIANGLE project: work in progress

“…In previous work, we modelled the app under test using nested state machines [3]. By providing explicit models, a developer is able to define the realistic uses of an app, instead of generating random inputs to test it.…”