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Cited by 371

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Guided, stochastic model-based GUI testing of Android apps

Su, Ting, Meng, Guozhu, Chen, Yuting, Wu, Ke, Yang, Weiming, Yao, Yao, Pu, Geguang, Liu, Yang, Su, Zhendong·2017·Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering

Abstract

Mobile apps are ubiquitous, operate in complex environments and are developed under the time-to-market pressure. Ensuring their correctness and reliability thus becomes an important challenge. This paper introduces Stoat, a novel guided approach to perform stochastic model-based testing on Android apps. Stoat operates in two phases: (1) Given an app as input, it uses dynamic analysis enhanced by a weighted UI exploration strategy and static analysis to reverse engineer a stochastic model of the app's GUI interactions; and (2) it adapts Gibbs sampling to iteratively mutate/refine the stochastic model and guides test generation from the mutated models toward achieving high code and model coverage and exhibiting diverse sequences. During testing, system-level events are randomly injected to further enhance the testing effectiveness.

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Metadata

Authors
Su, T., Meng, G., Chen, Y., Wu, K., Yang, W., Yao, Y., Pu, G., Liu, Y., & Su, Z.
Venue
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering
Publisher
ACM
Published
2017-08-21
Pages
245-256
OpenAlex
W2740742367
Cited by
371
References
36
FWCI
23.94
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Guided, stochastic model-based GUI testing of Android apps. https://app.cochat.ai/papers/10.1145/3106237.3106298
The paper
Su, T., Meng, G., Chen, Y., Wu, K., Yang, W., Yao, Y., Pu, G., Liu, Y., & Su, Z. (2017). Guided, stochastic model-based GUI testing of Android apps. Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering. https://doi.org/10.1145/3106237.3106298

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