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, but also to program crashes. Most often than not, such guidelines are not at a...

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Detalles Bibliográficos
Autores principales: Yovine, Sergio, Winniczuk, Gonzalo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
Application Programming Interface
static taint analysis
CheckDroid
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/135208
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/44
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-135208
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
Application Programming Interface
static taint analysis
CheckDroid
spellingShingle Ciencias Informáticas
Application Programming Interface
static taint analysis
CheckDroid
Yovine, Sergio
Winniczuk, Gonzalo
Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
topic_facet Ciencias Informáticas
Application Programming Interface
static taint analysis
CheckDroid
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, 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.
format Articulo
Articulo
author Yovine, Sergio
Winniczuk, Gonzalo
author_facet Yovine, Sergio
Winniczuk, Gonzalo
author_sort Yovine, Sergio
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 2018
url http://sedici.unlp.edu.ar/handle/10915/135208
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/44
work_keys_str_mv AT yovinesergio statictaintanalysisappliedtodetectingbadprogrammingpracticesinandroid
AT winniczukgonzalo statictaintanalysisappliedtodetectingbadprogrammingpracticesinandroid
bdutipo_str Repositorios
_version_ 1764820456490139648

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