Automating GUI testing for Android applications

Hu, Cuixiong; Neamtiu, Iulian

doi:10.1145/1982595.1982612

Cited by 235 publications

(139 citation statements)

References 8 publications

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“…V. RELATED WORK Android bugs have been studied previously for different purposes. For example, Hu and Neamtiu [14] conducted a bug study to investigate the categories of Android bugs and how Android bugs are manifested; Bhattacharya et al [9] performed a bug study to understand the bug-fixing process in Android platform and Android-based apps; and Zaeem et al [21] performed a study to identify user-interaction features for which oracles could be constructed. Different from these studies, our study focuses on investigating bugs that occurred as a result of changes.…”

Section: Rq3: How Does the Number Of Test Cases Selected Bymentioning

confidence: 99%

Redroid: A Regression Test Selection Approach for Android Applications

Dong

Yang

Che

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-As the mobile platform pervades human life, much research in recent years has focused on improving the reliability of mobile applications on this platform, for example by applying automatic testing. However, researchers have primarily considered testing of single version of mobile applications. Although regression testing has been extensively studied for desktop applications, and many efficient and effective approaches have been proposed, these approaches cannot be directly applied to mobile applications. We first present a bug study on real-world Android bugs to show the existence of regression bugs, which motivates the need for an efficient regression test selection technique for Android applications. Next, we introduce Redroid, a new approach to regression test selection for Android applications. Our approach leverages the combination of static impact analysis and dynamic code coverage, and identifies a subset of test cases for reexecution on the modified application version. We implement our approach for Android applications, and demonstrate its efficacy through an extensive empirical study.

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Section: Rq3: How Does the Number Of Test Cases Selected Bymentioning

confidence: 99%

Redroid: A Regression Test Selection Approach for Android Applications

Dong

Yang

Che

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

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“…[19] targets Android applications, and introduces a technique in which they first analyze event handlers, and then generate and exercise different sequences of events to reach hard-to-find states and transitions. [20] and [21] automatically analyzes event handlers in order to create and exercise events to find GUI bugs or create test suites for Android applications. While all these researches focus on apps on the Android platform, our research is focused on RIA's on the web.…”

Section: Related Workmentioning

confidence: 99%

Finding and Emulating Keyboard, Mouse, and Touch Interactions and Gestures while Crawling RIA’s

Nakstad

Washizaki²,

Fukazawa³

2015

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-Crawling JavaScript heavy Rich Internet Applications has been a hot topic in recent years, giving us automated tools for indexing content, test generation, and security-and accessibility evaluation to mention a few examples. However, existing crawling techniques tend to ignore user interactions beyond mouse clicking, and therefore often fail to consider potential mouse, keyboard and touch interactions. We propose a new technique for finding and exercising mouse, keyboard, and touch interactions when crawling highly interactive JavaScript-based websites by analyzing and exercising event handlers registered in the DOM. A basic form of gesture emulation is employed to find states accessible via swiping and tapping. Testing the tool against 6 well-known gesture libraries and 5 actual RIA's, we find that the technique discovers many states and transitions resulting from such interactions. Our findings indicate the technique could be useful for automatic test generation, error discovery, and accessibility evaluation, especially for mobile web applications with advanced interaction options.

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“…In [22], a crawling-based approach that leverages completely random inputs is proposed to generate unique test cases. [23] presents a random approach for generating GUI tests and uses the Android Monkey platform to execute them. We are leveraging reverse engineering techniques to obtain the app's implementation, and use program analysis to derive the test generation process.…”

Section: Related Workmentioning

confidence: 99%

A whitebox approach for automated security testing of Android applications on the cloud

Mahmood¹,

Esfahani²,

Kacem³

et al. 2012

2012 7th International Workshop on Automation of Software Test (AST)

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Abstract-By changing the way software is delivered to endusers, markets for mobile apps create a false sense of security: apps are downloaded from a market that can potentially be regulated. In practice, this is far from truth and instead, there has been evidence that security is not one of the primary design tenets for the mobile app stores. Recent studies have indicated mobile markets are harboring apps that are either malicious or vulnerable leading to compromises of millions of devices. The key technical obstacle for the organizations overseeing these markets is the lack of practical and automated mechanisms to assess the security of mobile apps, given that thousands of apps are added and updated on a daily basis. In this paper, we provide an overview of a multi-faceted project targeted at automatically testing the security and robustness of Android apps in a scalable manner. We describe an Android-specific program analysis technique capable of generating a large number of test cases for fuzzing an app, as well as a test bed that given the generated test cases, executes them in parallel on numerous emulated Androids running on the cloud.

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Automating GUI testing for Android applications

Cited by 235 publications

References 8 publications

Redroid: A Regression Test Selection Approach for Android Applications

Redroid: A Regression Test Selection Approach for Android Applications

Finding and Emulating Keyboard, Mouse, and Touch Interactions and Gestures while Crawling RIA’s

A whitebox approach for automated security testing of Android applications on the cloud

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