Static Taint Analysis Applied to Detecting Bad Programming Practices in Android

Autores/as

  • Sergio Yovine Universidad ORT, Uruguay
  • Gonzalo Winniczuk Universidad de Buenos Aires, Argentina

Resumen

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.

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Publicado

2018-03-26

Cómo citar

Yovine, S., & Winniczuk, G. (2018). Static Taint Analysis Applied to Detecting Bad Programming Practices in Android. SADIO Electronic Journal of Informatics and Operations Research, 17(1), 35-53. https://revistas.unlp.edu.ar/ejs/article/view/17594