Static Taint Analysis Applied to Detecting Bad Programming Practices in Android

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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...

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Detalles Bibliográficos
Autores principales: Winniczuk, Gonzalo, Yovine, Sergio
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/66161
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/ASSE/asse-04.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-66161
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
spellingShingle Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
Winniczuk, Gonzalo
Yovine, Sergio
Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
topic_facet Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
description 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.
format Objeto de conferencia
Objeto de conferencia
author Winniczuk, Gonzalo
Yovine, Sergio
author_facet Winniczuk, Gonzalo
Yovine, Sergio
author_sort Winniczuk, Gonzalo
title Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_short Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_full Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_fullStr Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_full_unstemmed Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_sort static taint analysis applied to detecting bad programming practices in android
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/66161
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/ASSE/asse-04.pdf
work_keys_str_mv AT winniczukgonzalo statictaintanalysisappliedtodetectingbadprogrammingpracticesinandroid
AT yovinesergio statictaintanalysisappliedtodetectingbadprogrammingpracticesinandroid
bdutipo_str Repositorios
_version_ 1764820481054081024

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