References of "Pilgun, Aleksandr 50025421"
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See detailDEMO: An Effective Android Code Coverage Tool
Pilgun, Aleksandr UL; Gadyatskaya, Olga UL; Dashevskyi, Stanislav UL et al

Poster (2018, October 15)

The deluge of Android apps from third-party developers calls for sophisticated security testing and analysis techniques to inspect suspicious apps without accessing their source code. Code coverage is an ... [more ▼]

The deluge of Android apps from third-party developers calls for sophisticated security testing and analysis techniques to inspect suspicious apps without accessing their source code. Code coverage is an important metric used in these techniques to evaluate their effectiveness, and even as a fitness function to help achieving better results in evolutionary and fuzzy approaches. Yet, so far there are no reliable tools for measuring fine-grained bytecode coverage of Android apps. In this work we present ACVTool that instruments Android apps and measures the smali code coverage at the level of classes, methods, and instructions. Tool repository: https://github.com/pilgun/acvtool [less ▲]

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See detailThe Influence of Code Coverage Metrics on Automated Testing Efficiency in Android
Dashevskyi, Stanislav UL; Gadyatskaya, Olga UL; Pilgun, Aleksandr UL et al

Poster (2018, October)

Code coverage is an important metric that is used by automated Android testing and security analysis tools to guide the exploration of applications and to assess efficacy. Yet, there are many different ... [more ▼]

Code coverage is an important metric that is used by automated Android testing and security analysis tools to guide the exploration of applications and to assess efficacy. Yet, there are many different variants of this metric and there is no agreement within the Android community on which are the best to work with. In this paper, we report on our preliminary study using the state-of-the-art automated test design tool Sapienz. Our results suggest a viable hypothesis that combining different granularities of code coverage metrics can be beneficial for achieving better results in automated testing of Android applications. [less ▲]

Detailed reference viewed: 112 (21 UL)