dc.creatorYovine, Sergio
dc.creatorWinniczuk, Gonzalo
dc.date2018-04-04
dc.date2022-04-28T13:13:58Z
dc.date.accessioned2023-07-15T06:24:36Z
dc.date.available2023-07-15T06:24:36Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/135208
dc.identifierhttps://publicaciones.sadio.org.ar/index.php/EJS/article/view/44
dc.identifierissn:1514-6774
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7476559
dc.descriptionFrameworks 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, but also 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.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format35-53
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectCiencias Informáticas
dc.subjectApplication Programming Interface
dc.subjectstatic taint analysis
dc.subjectCheckDroid
dc.titleStatic Taint Analysis Applied to Detecting Bad Programming Practices in Android
dc.typeArticulo
dc.typeArticulo


Este ítem pertenece a la siguiente institución