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Leveraging historical versions of Android apps for efficient and precise taint analysis.

, and . MSR, page 265-269. ACM, (2018)

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A comprehensive study of the predictive accuracy of dynamic change-impact analysis., and . Journal of Systems and Software, (2015)Quantitative program slicing: separating statements by relevance., , , , and . ICSE, page 1269-1272. IEEE Computer Society, (2013)Parallel Rendering for Legible Illustrative Visualizations of Dense Geometries on Commodity CPUs.. Int. J. Image Graphics, (2016)DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling., , , and . IEEE Trans. Information Forensics and Security, 14 (6): 1455-1470 (2019)An empirical comparison between monkey testing and human testing (WIP paper)., , and . LCTES, page 188-192. ACM, (2019)Measuring interprocess communications in distributed systems., and . ICPC, page 323-334. IEEE / ACM, (2019)ICC-inspect: supporting runtime inspection of Android inter-component communications., and . MOBILESoft@ICSE, page 80-83. ACM, (2018)Automatically Locating Malicious Packages in Piggybacked Android Apps., , , , , , and . MOBILESoft@ICSE, page 170-174. IEEE, (2017)MR-Droid: A Scalable and Prioritized Analysis of Inter-App Communication Risks., , , , , and . IEEE Symposium on Security and Privacy Workshops, page 189-198. IEEE Computer Society, (2017)SENSA: Sensitivity Analysis for Quantitative Change-Impact Prediction., , , , and . SCAM, page 165-174. IEEE Computer Society, (2014)