Static Taint Analysis Applied to Detecting Bad Programming Practices in Android

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

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.

Publicado
2018-03-26
Cómo citar
Yovine, S., & Winniczuk, G. (2018). Static Taint Analysis Applied to Detecting Bad Programming Practices in Android. Electronic Journal of SADIO (EJS), 17(1), 35-53. Recuperado a partir de https://ojs.sadio.org.ar/index.php/EJS/article/view/44
Sección
Papers