Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andrea Romdhana"'
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101448- (2023)
Despite decades of research, the automatic detection of vulnerabilities in mobile apps remains an open challenge. Among the possible solutions, SAST tools uncover source or compiled code security flaws without needing the app to be executed and teste
Externí odkaz:
https://doaj.org/article/1ef1fe3f90664a14bedf705c0dfeeb91
Despite decades of research efforts, the automatic detection of vulnerabilities in mobile apps remains an open challenge. Among the possible solutions, SAST tools uncover source or compiled code security flaws without needing the app to be executed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70b01d46245ed011247c66ae915fe1ac
https://doi.org/10.36227/techrxiv.21261573
https://doi.org/10.36227/techrxiv.21261573
A central aspect of the Android platform is Inter-Component Communication (ICC), which allows the reuse of functionality across apps and components through message passing. While ICC is a powerful feature, it also presents a serious attack surface. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c37ab1c451891df2e5a10d9ae21716f
GenRL is a Deep Reinforcement Learning-based tool designed to generate test cases for Lane-Keeping Assist Systems. In this paper, we briefly presents GenRL, and summarize the results of its participation in the Cyber-Physical Systems (CPS) tool compe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dcf5f0c3d47014ded6da5ba9a78bcca
http://hdl.handle.net/11588/894581
http://hdl.handle.net/11588/894581
Software is constantly changing as developers add new features or make changes. This directly impacts the effectiveness of the test suite associated with that software, especially when the new modifications are in an area where no test case exists. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4b49bfc2405221a26ff80d5a3616dcf
https://hdl.handle.net/11562/1081852
https://hdl.handle.net/11562/1081852
Publikováno v:
ICST
The degree of code coverage reached by a test suite is an important indicator of the thoroughness of testing. Most coverage tools for Android apps work at the bytecode level and provide no information to developers about which source code lines have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf805e0330f2af61abaf716bd44c0445
https://hdl.handle.net/11567/1066518
https://hdl.handle.net/11567/1066518
Publikováno v:
IJCNN
Access to privacy-sensitive information on Android is a growing concern in the mobile community. Albeit Google Play recently introduced some privacy guidelines, it is still an open problem to soundly verify whether apps actually comply with such rule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59a135297ab493b3577bf5ade37cf016
https://doi.org/10.1109/ijcnn48605.2020.9206660
https://doi.org/10.1109/ijcnn48605.2020.9206660
Publikováno v:
Testing Software and Systems ISBN: 9783030648800
ICTSS
Lecture Notes in Computer Science
32th IFIP International Conference on Testing Software and Systems (ICTSS)
32th IFIP International Conference on Testing Software and Systems (ICTSS), Dec 2020, Naples, Italy. pp.73-88, ⟨10.1007/978-3-030-64881-7_5⟩
ICTSS
Lecture Notes in Computer Science
32th IFIP International Conference on Testing Software and Systems (ICTSS)
32th IFIP International Conference on Testing Software and Systems (ICTSS), Dec 2020, Naples, Italy. pp.73-88, ⟨10.1007/978-3-030-64881-7_5⟩
Part 2: Security Testing; International audience; The Google Play Store currently includes up to 2.8M apps. Nonetheless, it is rather straightforward for a user to quickly retrieve the app that matches her tastes, as Google provides a reliable search
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93e683a2661f15cff35516d5c2dfbc45
http://hdl.handle.net/11567/1047923
http://hdl.handle.net/11567/1047923
Publikováno v:
ACM Transactions on Software Engineering and Methodology
The state space of Android apps is huge, and its thorough exploration during testing remains a significant challenge. The best exploration strategy is highly dependent on the features of the app under test. Reinforcement Learning (RL) is a machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d836af1e1c3505a8c37b951433c318a2