Automating UI tests for mobile applications with formal gesture descriptions

Hesenius, Marc; Griebe, Tobias; Gries, Stefan; Gruhn, Volker

doi:10.1145/2628363.2628391

Cited by 20 publications

(8 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To describe testing scenarios, ANDROFLEET provides a DSL to developers. Previous research have extended Calabash framework 3 to add some context-based testing [18], [17]. AN-DROFLEET adopts a similar approach by extending Calabash to introduce a WiFi P2P specific vocabulary.…”

Section: A Describing Test Scenariosmentioning

confidence: 99%

ANDROFLEET: Testing WiFi peer-to-peer mobile apps in the large

Meftah

Gomez

Rouvoy

et al. 2017

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)

View full text Add to dashboard Cite

WiFi P2P allows mobile apps to connect to each other via WiFi without an intermediate access point. This communication mode is widely used by mobile apps to support interactions with one or more devices simultaneously. However, testing such P2P apps remains a challenge for app developers as i) existing testing frameworks lack support for WiFi P2P, and ii) WiFi P2P testing fails to scale when considering a deployment on more than two devices. In this paper, we therefore propose an acceptance testing framework, named ANDROFLEET, to automate testing of WiFi P2P mobile apps at scale. Beyond the capability of testing point-to-point interactions under various conditions, AN-DROFLEET supports the deployment and the emulation of a fleet of mobile devices as part of an alpha testing phase in order to assess the robustness of a WiFi P2P app once deployed in the field. To validate ANDROFLEET, we demonstrate the detection of failing black-box acceptance tests for WiFi P2P apps and we capture the conditions under which such a mobile app can correctly work in the field. The demo video of ANDROFLEET is made available from https://youtu.be/gJ5 Ed7XL04.

show abstract

Section: A Describing Test Scenariosmentioning

confidence: 99%

ANDROFLEET: Testing WiFi peer-to-peer mobile apps in the large

Meftah

Gomez

Rouvoy

et al. 2017

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)

View full text Add to dashboard Cite

show abstract

“…It is argued that mimicking user behaviour is one of the key factors in generating gesture-based test cases. It helps in executing realistic test scenarios and standard gestures [1], [2].…”

Section: Introductionmentioning

confidence: 99%

“…• Evaluating the effectiveness of the proposed approach in terms of, (1) mimicking the user's behavior; and (2) increasing the code coverage of the software under test (SUT).…”

Section: Introductionmentioning

confidence: 99%

Automated Testing of Motion-based Events in Mobile Applications

Emam¹,

Miller²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Automated test case generation is one of the main challenges in testing mobile applications. This challenge becomes more complicated when the application being tested supports motion-based events. In this paper, we propose a novel, hidden Markov model (HMM)-based approach to automatically generate movement-based gestures in mobile applications. A HMM classifier is used to generate movements, which mimic a user's behaviour in interacting with the application's User Interface (UI). We evaluate the proposed technique on three different case studies; the evaluation indicates that the technique not only generates realistic test cases, but also achieves better code coverage when compared to randomly generated test cases

show abstract

“…Gesture-based user interfaces have been reported to be more difficult to implement and test than traditional mouse and pointer interfaces [3]. Gesture-based interaction is supported at the source code level (typically, third-generation languages) [4].…”

Section: Introductionmentioning

confidence: 99%

GestUI: A Model-driven Method and Tool for Including Gesture-based Interaction in User Interfaces

Parra

España

Pastor

2016

J. Complex Syst. Inform. Model. Q.

View full text Add to dashboard Cite

Abstract. Among the technological advances in touch-based devices, gesturebased interaction have become a prevalent feature in many application domains. Information systems are starting to explore this type of interaction. As a result, gesture specifications are now being hard-coded by developers at the source code level that hinders their reusability and portability. Similarly, defining new gestures that reflect user requirements is a complex process. This paper describes a model-driven approach to include gesture-based interaction in desktop information systems. It incorporates a tool prototype that captures usersketched multi-stroke gestures and transforms them into a model by automatically generating the gesture catalogue for gesture-based interaction technologies and gesture-based user interface source codes. We demonstrated our approach in several applications ranging from case tools to form-based information systems.

show abstract

Automating UI tests for mobile applications with formal gesture descriptions

Cited by 20 publications

References 17 publications

ANDROFLEET: Testing WiFi peer-to-peer mobile apps in the large

ANDROFLEET: Testing WiFi peer-to-peer mobile apps in the large

Automated Testing of Motion-based Events in Mobile Applications

GestUI: A Model-driven Method and Tool for Including Gesture-based Interaction in User Interfaces

Contact Info

Product

Resources

About