[en] 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.
Research center :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
Disciplines :
Computer science
Author, co-author :
Dashevskyi, Stanislav ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Gadyatskaya, Olga ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Pilgun, Aleksandr ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Yury, Zhauniarovich; Qatar Computing Research Institute (HBKU)
External co-authors :
yes
Language :
English
Title :
The Influence of Code Coverage Metrics on Automated Testing Efficiency in Android
Publication date :
October 2018
Event name :
The 25th ACM Conference on Computer and Communications Security
