Investigating Users' Reaction to Fine-Grained Data Requests: A Market Experiment
N. Eling, S. Rasthofer, M. Kolhagen, E. Bodden, P. Buxmann, in: 2016 49th Hawaii International Conference on System Sciences (HICSS), 2016, pp. 3666–3675.

Boomerang: Demand-Driven Flow- and Context-Sensitive Pointer Analysis for Java
J. Späth, L. Nguyen Quang Do, K. Ali, E. Bodden, in: European Conference on Object-Oriented Programming (ECOOP), 2016.

IccTA: Detecting Inter-Component Privacy Leaks in Android Apps
L. Li, A. Bartel, T.F. Bissyande, J. Klein, Y. Le Traon, S. Arzt, S. Rasthofer, E. Bodden, D. Octeau, P. McDaniel, in: 2015 International Conference on Software Engineering (ICSE), 2015, pp. 280–291.

FlowTwist: efficient context-sensitive inside-out taint analysis for large codebases
J. Lerch, B. Hermann, E. Bodden, M. Mezini, in: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2014, ACM Press, 2014.

FlowDroid: Precise Context, Flow, Field, Object-sensitive and Lifecycle-aware Taint Analysis for Android Apps
S. Arzt, S. Rasthofer, C. Fritz, E. Bodden, A. Bartel, J. Klein, Y. Le Traon, D. Octeau, P. McDaniel, in: Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation - PLDI ’14, ACM Press, 2014.

DroidForce: Enforcing Complex, Data-Centric, System-Wide Policies in Android
S. Arzt, S. Rasthofer, E. Lovat, E. Bodden, in: International Conference on Availability, Reliability and Security (ARES 2014), IEEE, 2014, pp. 40–49.

Partially Evaluating Finite-State Runtime Monitors Ahead of Time
E. Bodden, P. Lam, L. Hendren, ACM Transactions on Programming Languages and Systems 34 (2012) 1–52.