Journals, Conferences and Workshops

  1. P.-P. Partachi, S.K. Dash, M. Allamanis and E. T. Barr. Flexeme: Untangling Commits Using Lexical Flows. In 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, (ESEC/FSE 2020). Sacramento, California, United States; ACM, November, FSE 2020.
  2. S. K. Dash,  F. Wu,  M. Basios, L. Li and L. Kanthan. Checkers: Multi-modal Darwinian API Optimisation. 8th International Workshop on Genetic Improvement (GI), ICSE 2020.
  3. C. Casalnuovo, E. T. Barr, S. K. Dash, P. Devanbu, E. Morgan. A Theory of Dual-Channel Constraints. International Conference on Software Engineering (NIER track), ICSE 2020.
  4. A. Louis, S. K. Dash, E. T. Barr, M. D. Ernst, C. Sutton. Where should I comment my code? A dataset and model for predicting locations that need comments. International Conference on Software Engineering (NIER track), ICSE 2020. (Nominated for Best Paper award)
  5. P.-P. Pârțachi, S. K. Dash, C. Treude, and E. T. Barr. Posit: Simultaneously Tagging Natural and Programming Languages. International Conference on Software Engineering (Research track), ICSE 2020.
  6. S. K. Dash, M. Allamanis, E. T. Barr. RefiNym: Using Names To Refine Type. 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018.
  7. G. Suarez-Tangil, S. K. Dash, P. García-Teodoro, J. Camacho, L. Cavallaro. Anomaly-based exploratory analysis and detection of exploits in android mediaserver. IET Information Security, 2018. To Appear.
  8. R. Jordaney, K. Sharad, S. K. Dash, Z. Wang, D. Papini, I. Nouretdinov,  L. Cavallaro, Transcend: Detecting Concept Drift in Malware Classification Models, 26th Usenix Security Symposium, Aug 2017.
  9. M. Hurier, G. Suarez-Tangil, S. K. Dash, T. F. Bissyandé, Y. Le Traon, J. Klein,, L. Cavallaro, Euphony: Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware, The 14th International Conference on Mining Software Repositories (MSR), IEEE/ACM, pp. 425-435, May 2017.
  10. G. Suarez-Tangil, S. K. Dash, M. Ahmadi, J. Kinder, G. Giacinto, L. Cavallaro, DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware, Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy (CODASPY), pp. 309-320, Mar 2017.
  11. A. Deo, S. K. Dash, G. Suarez-Tangil, V. Vovk, L. Cavallaro. “Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection”, Artificial Intelligence and Security (AISec), October 2016.
  12. S. K. Dash, G. Suarez-Tangil, S. Khan, K. Tam, M. Ahmadi, J. Kinder, L. Cavallaro. “DroidScribe: Classifying Android Malware based on Runtime Behavior”, Mobile Security Technologies (MoST), May 2016.
  13. S. K. Dash, S.B. Scholz, B. Christianson and S. Herhut. “A scalable approach to computing Lowest Common Ancestors in Directed Acyclic Graphs”, Theoretical Computer Science (TCS), Issue 513, pp. 25-37, November 2013.
  14. S. K. Dash, S.B. Scholz and B. Christianson. “Modular design of data-parallel graph algorithms”, 12th International Conference on High Performance Computing & Simulation (HPCS), pp. 398-404, Finland, July 2013.
  15. S. K. Dash and T. Srikanthan. “Cache Tuning for RTOS- driven Multitasking Applications”, IET Journal for Computer and Digital Techniques, volume 4(6), pp. 439-457, November 2010.
  16. S. K. Dash and T. Srikanthan. “Rapid Cache Tuning Techniques for Embedded Multitasking Systems”, IFIP/IEEE Symposium on Rapid System Prototyping (RSP), pp. 152-158, France, June 2009.
  17. S. K. Dash and T. Srikanthan. “Modelling RTOS Components for Instruction Cache Hit Rate Estimation”, IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2978 – 2981, Taiwan, May 2009.
  18. S. K. Dash and T. Srikanthan. “Rapid Estimation of Instruction Cache Hit Rates Using Loop Profiling”, IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp. 263-268, Belgium, July 2008.


  1. S. K. Dash, G. Suarez-Tangil, J. Kinder, L. Cavallaro. “Barometer: Sizing Up Android Applications Through Statistical Evaluation”. Poster session. In 37th IEEE Symposium on Security and Privacy (S&P 2016), May 2016.
  2. S. K. Dash, K. Tam, J. Kinder, and L. Cavallaro. “Set-based Classification of Android Malware from Behavioural Abstractions”. Poster session. In 24th USENIX Security Symposium. (USENIX Security 2015), August 2015.