This project is a fork and extension of the Acteve project on concolic execution for Android (https://code.google.com/p/acteve/) 
ConDroid performs concolic execution of Android apps - a combination of pure symbolic and concrete execution of a program which has first been described in  for C programs. The goal of ConDroid is to drive execution of Android app to specific code locations without requiring any manual interaction with the app. This allows to observe "interesting" behavior in a dynamic analysis, such as network traffic or dynamic code loading.
Some details on the extensions have been published in .
 Saswat Anand, Mayur Naik, Hongseok Yang, Mary Jean Harrold. Automated Concolic Testing of Smartphone Apps. In ACM International Symposium on Foundations of Software Engineering (FSE), 2012.
 Koushik Sen, Darko Marinov, Gul Agha. CUTE: A concolic unit testing engine for C. In Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering, 2005
 Julian Schütte, Rafael Fedler, Dennis Titze. ConDroid: Targeted Dynamic Analysis of Android Applications. In IEEE Conference on Advanced Information Networking and Applications (AINA), 2015
- Android SDK
- Z3 solver, including the string extensions from this project
git clone https://github.com/JulianSchuette/ConDroid.git
Unzip Z3 solver with added supported for String operations (equals, concat, etc.)
unzip Z3-str_20140720.zip /opt/ mv /opt/Z3-str_20140720 /opt/z3
Set up configuration
mv config.properties.sample config.properties
Set up eclipse
- Import project into eclipse
- Launch an android emulator
- Launch run configuration from eclipse The app under test is given as argument to the program
java -jar condroid.jar <apk>