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dc.date.accessioned 2018-04-12T17:55:01Z
dc.date.available 2018-04-12T17:55:01Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/66161
dc.description.abstract Frameworks and Application Programming Interfaces (API) usually come along with a set of guidelines that establish good programming practices in order to avoid pitfalls which could lead, at least, to bad user experiences, and at most, to program crashes. Most often than not, such guidelines are not at all enforced by IDEs. This work investigates whether static taint analysis could be effectively used for automatically detecting bad programming patterns in Android applications. It presents the implemented tool, called CheckDroid, together with the preliminary experimental evaluation carried out. en
dc.format.extent 25-31 es
dc.language en es
dc.subject Android en
dc.subject programming recommendations en
dc.subject static analysis en
dc.subject taint analysis en
dc.title Static Taint Analysis Applied to Detecting Bad Programming Practices in Android en
dc.type Objeto de conferencia es
sedici.identifier.uri http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/ASSE/asse-04.pdf es
sedici.identifier.issn 2451-7593 es
sedici.creator.person Winniczuk, Gonzalo es
sedici.creator.person Yovine, Sergio es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/4.0/
sedici.date.exposure 2017-09
sedici.relation.event Simposio Argentino de Ingeniería de Software (ASSE) - JAIIO 46 (Córdoba, 2017). es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/135208 es


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Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)