Reference : The Influence of Code Coverage Metrics on Automated Testing Efficiency in Android

	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/37077

Title :	The Influence of Code Coverage Metrics on Automated Testing Efficiency in Android
Language :	English
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)]
Publication date :	Oct-2018
Peer reviewed :	Yes
Audience :	International
Event name :	The 25th ACM Conference on Computer and Communications Security
Event date :	from October 15, 2018 to October 19, 2018
Event place (city) :	Toronto
Event country :	Canada
Keywords :	[en] Android ; automated testing ; fault detection
Abstract :	[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 centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	DroidMod
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/37077
DOI :	10.1145/3243734.3278524
Other URL :	https://dl.acm.org/citation.cfm?id=3278524
FnR project :	FnR ; FNR10404933 > Olga Gadyatskaya > COMMA > Combating Context-Sensitive Mobile Malware > 01/04/2016 > 31/03/2019 > 2015

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Limited access CCS2018-sapienz.pdf Publisher postprint 349.35 kB Request a copy

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