Achieving High Code Coverage in Android UI Testing via Automated Widget Exercising

Arnatovich, Yauhen Leanidavich; Ngo, Minh Ngoc; Kuan, Tan Hee Beng; Soh, Chee Kiong

doi:10.1109/apsec.2016.036

Cited by 18 publications

(15 citation statements)

References 11 publications

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“…Note that, in this demo, we focus on the symbolic part of a customated input generation mechanism due to the complexity of demonstrating a mixture of all possibly generated inputs. For more details about UI‐context‐aware and Random/Default user input generation, refer to our conference paper …”

Section: Demo Of Mobolicmentioning

confidence: 99%

“…Next, we show the overall workflow of Mobolic in Algorithm 1. Generally, Mobolic can be logically divided into 3 stages: (1) preparation (lines 2-6), (2) input generation (lines 9-20), and (3) exercising of the app under test (lines [21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Control Dependence Graphmentioning

confidence: 99%

“…For more details about UI-context-aware and Random/Default user input generation, refer to our conference paper. 22 In our demo, we assume that the app consists of 3 UIs. On u 1 , the app has an editable widget e 11 .…”

Section: Demo Of Mobolicmentioning

confidence: 99%

“…Mobolic automatically guides the testing procedure by dynamically building a finite‐state model of the app GUI without loops . This is done by extending Google's UI Automator testing framework.…”

Section: Introductionmentioning

confidence: 99%

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Mobolic: An automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation

et al. 2018

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Summary The increasingly prevalent use of mobile devices has raised the popularity of mobile applications. Therefore, automated testing of mobile applications has become an extremely important task. However, it is still a challenge to automatically generate tests with high coverage for mobile applications due to their specific nontrivial structure and the highly interactive nature of graphical user interfaces (GUIs). In this paper, we propose a novel automated GUI testing technique for mobile applications, namely, Mobolic. In this approach, tests with high coverage are automatically generated and executed by combining the online testing technique and customated input generation. Employing the online testing technique, Mobolic systematically explores the app GUI without falling in a loop. It generates relevant events “on the fly” that are followed by an immediate execution. In addition, involving the customated input generation, Mobolic automatically generates relevant user inputs such as user‐predefined, concrete, or random ones. We implemented Mobolic and evaluated its performance on 10 real‐world open‐source Android applications. Our experimental results show the effectiveness and efficiency of Mobolic in terms of achieved code coverage and overall exercising time.

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Section: Demo Of Mobolicmentioning

confidence: 99%

Section: Control Dependence Graphmentioning

confidence: 99%

Section: Demo Of Mobolicmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mobolic: An automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation

et al. 2018

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show abstract

“…From online testing, Mobolic inherits the model checking technique and event-driven finite-state machine abstraction to guide the testing process by dynamically building an atomic finite-state model of the app GUI without loops [101]. Using the atomic models, Mobolic explores app GUI by systematically traversing each of them.…”

Section: Mobolicmentioning

confidence: 99%

Testing mobile applications via automated exploration of graphical user interface and textual user input generation

Arnatovich¹

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Automated functional testing of mobile applications: a systematic mapping study

et al. 2018

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Achieving High Code Coverage in Android UI Testing via Automated Widget Exercising

Cited by 18 publications

References 11 publications

Mobolic: An automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation

Mobolic: An automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation

Testing mobile applications via automated exploration of graphical user interface and textual user input generation

Automated functional testing of mobile applications: a systematic mapping study

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