Zur Kurzanzeige

dc.contributor.authorPauck, Felix
dc.contributor.authorWehrheim, Heike
dc.contributor.editorKoziolek, Anne
dc.contributor.editorSchaefer, Ina
dc.contributor.editorSeidl, Christoph
dc.date.accessioned2020-12-17T11:57:56Z
dc.date.available2020-12-17T11:57:56Z
dc.date.issued2021
dc.identifier.isbn978-3-88579-704-3
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/34526
dc.description.abstractNovel Android app analysis tools as well as improved versions of available tools are frequently proposed. These proposed tools often tackle a specific single issue that cannot be handled with existing tools. Consequently, the best analysis possible should use the advantages of each and every tool. With CoDiDroid we present an analysis framework that allows to combine analysis tools such that the best out of each tool is used for a more comprehensive and more precise cooperative analysis. Our experimental results show indeed that CoDiDroid allows to setup cooperative analyses which are beneficial with respect to effectiveness, accuracy and scalability.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2021
dc.relation.ispartofseriesecture Notes in Informatics (LNI) - Proceedings, Volume P-310
dc.subjectAndroid Taint Analysis
dc.subjectTools
dc.subjectCooperation
dc.subjectPrecision
dc.titleCooperative Android App Analysis with CoDiDroiden
dc.typeText/ConferencePaper
dc.pubPlaceBonn
mci.reference.pages83-84
mci.conference.locationBraunschweig/Virtuell
mci.conference.date22.-26. Februar 2021
dc.identifier.doi10.18420/SE2021_30


Dateien zu dieser Ressource

Thumbnail

Zur Kurzanzeige