Barista: A Technique for Recording, Encoding, and Running Platform Independent Android Tests

Fazzini, Mattia; Freitas, Eduardo Noronha de Andrade; Choudhary, Shauvik Roy; Orso, Alessandro

doi:10.1109/icst.2017.21

Cited by 42 publications

(27 citation statements)

References 13 publications

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“…Another limitation, which we will address in future work, is that our replayable traces are currently tied to the dimensions of a particular screen, and are not easily human readable. However, combining V2S with existing techniques for device-agnostic test case translation [32], and GUI analysis techniques for generating natural language reports [58] could mitigate these limitations.…”

Section: Limitations and Threats To Validitymentioning

confidence: 99%

Translating video recordings of mobile app usages into replayable scenarios

Bernal-Cárdenas

Cooper

Moran

et al. 2020

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering

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Screen recordings of mobile applications are easy to obtain and capture a wealth of information pertinent to software developers (e.g., bugs or feature requests), making them a popular mechanism for crowdsourced app feedback. Thus, these videos are becoming a common artifact that developers must manage. In light of unique mobile development constraints, including swift release cycles and rapidly evolving platforms, automated techniques for analyzing all types of rich software artifacts provide benet to mobile developers. Unfortunately, automatically analyzing screen recordings presents serious challenges, due to their graphical nature, compared to other types of (textual) artifacts. To address these challenges, this paper introduces V2S, a lightweight, automated approach for translating video recordings of Android app usages into replayable scenarios. V2S is based primarily on computer vision techniques and adapts recent solutions for object detection and image classication to detect and classify user actions captured in a video, and convert these into a replayable test scenario. We performed an extensive evaluation of V2S involving 175 videos depicting 3,534 GUI-based actions collected from users exercising features and reproducing bugs from over 80 popular Android apps. Our results illustrate that V2S can accurately replay scenarios from screen recordings, and is capable of reproducing ⇡ 89% of our collected videos with minimal overhead. A case study with three industrial partners illustrates the potential usefulness of V2S from the viewpoint of developers. CCS CONCEPTS • Software and its engineering → Software maintenance tools; Software verication and validation; Application specic development environments.

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Section: Limitations and Threats To Validitymentioning

confidence: 99%

Translating video recordings of mobile app usages into replayable scenarios

Bernal-Cárdenas

Cooper

Moran

et al. 2020

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering

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“…As a matter of example, we share a template file to illustrate how these apps can be unit tested using a mocked version of the Google Nearby Connections API. 8 When mocked, with a framework like Mockito, 9 the Google Nearby Connections API hardens and checks the behavior of the app regarding the expected sequence of calls to the API. For example, if the app calls acceptConnection before calling startDiscovery, the test should fail.…”

Section: A State Of Practice For Testing Nearby Mobile Appsmentioning

confidence: 99%

“…In our framework we propose new test oracles, some literature work also propose to add a set of test oracles [7], [8], [9]. We test nearby P2P mobile apps which lead us to consider the dynamic context of the app being tested [10], [11], [12], [13], [4], and to consider controlling the executed event sequences in the tested app [14], [15], [16], [17].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Testing Nearby Peer-to-Peer Mobile Apps at Large

Meftah

Rouvoy

Chrisment

2019

2019 IEEE/ACM 6th International Conference on Mobile Software Engineering and Systems (MOBILESoft)

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“…In addition to these strategies, there has also been work done on record and replay tools that allow developers to easily record GUIlevel testing scenarios and replay them later as a form of regression testing [41,43,52,93]. Evaluating the efficacy of an automated test input generation technique can be challenging, as the practical utility of test adequacy criteria such as method or statement-level code coverage have come under scrutiny by the software testing research community.…”

Section: Mobile Testingmentioning

confidence: 99%

Overcoming language dichotomies

Moran

Cardenas

Vasquez

et al. 2018

Proceedings of the 26th Conference on Program Comprehension

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Mobile devices and platforms have become an established target for modern software developers due to performant hardware and a large and growing user base numbering in the billions. Despite their popularity, the software development process for mobile apps comes with a set of unique, domain-specific challenges rooted in program comprehension. Many of these challenges stem from developer difficulties in reasoning about different representations of a program, a phenomenon we define as a "language dichotomy". In this paper, we reflect upon the various language dichotomies that contribute to open problems in program comprehension and development for mobile apps. Furthermore, to help guide the research community towards effective solutions for these problems, we provide a roadmap of directions for future work. CCS CONCEPTS• Software and its engineering → Software notations and tools;

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Barista: A Technique for Recording, Encoding, and Running Platform Independent Android Tests

Cited by 42 publications

References 13 publications

Translating video recordings of mobile app usages into replayable scenarios

Translating video recordings of mobile app usages into replayable scenarios

Testing Nearby Peer-to-Peer Mobile Apps at Large

Overcoming language dichotomies

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