Projects

Context aware testing of Android applications (details here)

Publications

  1. Piparia S, Defante A, Tantisira K, Ryu J. Using machine learning to improve our understanding of COVID-19 infection in children. PLoS One. 2023 Feb 15;18(2):e0281666. doi: 10.1371/journal.pone.0281666. PMID: 36791067; PMCID: PMC9931095.
  2. Piparia S., Adamo D., Bryce R., Do H., and Bryant B., "Combinatorial Testing of Context-Aware Android Applications” (Invited Paper), Proceedings of FedCSIS 2021, September 2021, pp.17-26.
  3. Piparia S., Khan K., and Bryce R., "Discovery of real world context event patterns for smartphone devices using conditional random fields", Proceedings of the 18th Intl. Conference on Information Technology-New Generations, April 2021, pp.221-227.
  4. Madala K., Piparia S., Blanco E., Do H., and Bryce R., "Model elements identification using a neural network: a comprehensive study", Requirements Engineering, 2020.
  5. Madala K., Piparia S., Do H., and Bryce R., “Finding Component State Transition Model Elements using Neural Networks: An Empirical Study”, Artificial Intelligence Requirements Engineering, 20th - 24th August 2018.
  6. Adamo D., Nurmuradov D., Piparia S., and Bryce R., “Combinatorial-based Event Sequence Testing of Android Applications”, Information and Software Technology, 99(7):98-117, 2018.
  7. Nurmuradov D., Bryce R., Piparia S., and Bryant B., “Test Suite Prioritization Using Clustering and Combinatorial Methods for GUI and Web Applications”, Proceedings of the 15th International Conference on Information Technology - New Generations, (April 2018), pp.459-466.
  8. Pepakayala, S.C. and Mishra, A. and Beg, M.S. and Piparia, S. and Shailesh, S.R., “Smart search and navigate”, Google Patents, US Patent App. 14/937,713, Published May 11, 2017.
  9. Singampalli S., Piparia S. and Chinara S., “Modeling and Performance Analysis of AODV routing protocol using CPN”, Lambert publications, Feb 2016.
  10. Shraddha Piparia and S. Chinara, “Modeling of AODV routing protocols using Time Petri-nets”, International Conference on Global Innovations in Technology and Sciences (ICGITS), 283-288, 4th-6th April 2013.

Poster presentations

  1. Using Machine Learning to improve our understanding of COVID-19 infection in children. 11th Annual Pediatric Reaseach Symposium.
  2. The CATDroid framework for testing context sensitive mobile applications. Tapia Conference 2019. Link