ER Catcher: A Static Analysis Framework for Accurate and Scalable Event-Race Detection in Android

Android platform provisions a number of sophisticated concurrency mechanisms for the development of apps. The concurrency mechanisms, while powerful, are quite difficult to properly master by mobile developers. In fact, prior studies have shown concurrency issues, such as event-race defects, to be prevalent among real-world Android apps. In this paper, we propose a flow-, context-, and thread-sensitive static analysis framework, called ER Catcher, for detection of event-race defects in Android apps. ER Catcher introduces a new type of summary function aimed at modeling the concurrent behavior of methods in both Android apps and libraries. In addition, it leverages a novel, statically constructed Vector Clock for rapid analysis of happens-before relations. Altogether, these design choices enable ER Catcher to not only detect event-race defects with a substantially higher degree of accuracy, but also in a fraction of time compared to the existing state-of-the-art technique.

Video Presentation

Artifacts

The artifacts are available for download from here.

Publications

More details about this project can be found in our publication below:

• ER Catcher: A Static Analysis Framework for Accurate and Scalable Event-Race Detection in Android
  Navid Salehnamadi, Abdulaziz Alshayban, Iftekhar Ahmed , and Sam Malek
  35th International Conference on Automated Software Engineering (ASE 2020), Virtual Event, Australia, September 2020. (23% acceptance rate)
  [PDF]