Selected Publications

You can also find my articles on my Google Scholar profile.

  • She, D., Krishna, R., Yan, L., Jana, S. and Ray, B., ‘‘MTFuzz: Fuzzing with a Multi-Task Neural Network.’’ In Intl. Conference on Foundations of Software Engineering (ECSE/FSE), 2020. https://arxiv.org/pdf/2005.12392.pdf

  • Chakraborty, S., Krishna, R., Ding, Y. and Ray, B., ‘‘Deep Learning based Vulnerability Detection: Are We There Yet?’’. In IEEE Transactions on Software Engineering (TSE), 2020 (Under review). Link: https://arxiv.org/abs/1703.06218

  • Wang, J., Yang, Y., Krishna, R., Menzies, T. & Wang, Q., “Effective Automated Decision Support for Managing Crowd testing”. Intl. Conference on Software Engineering (ICSE), 2019, Online: https://arxiv.org/pdf/1805.02744.pdf;

  • Krishna, R., Tang, C., Sullivan, K., Ray, B., “ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance”. IEEE Transactions on Software Engineering (TSE), 2020. Online: https://arxiv.org/pdf/1910.09644.pdf;

  • Krishna, R., Nair, V., Jamshidi, P., & Menzies, T., “Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE.” IEEE Transactions on Software Engineering (TSE), 2020. https://arxiv.org/pdf/1910.09644.pdf;

  • Krishna, R., Menzies, T., “Learning Actionable Analytics from Multiple Software Projects”. Empirical Software Engineering Journal (EMSE), 2019 . Online: https://arxiv.org/pdf/1708.05442.pdf;

  • Krishna, R. & Menzies, T., “Bellwethers: A Baseline Method For Transfer Learning”. In IEEE Transactions on Software Engineering (TSE), 2018. Online: https://arxiv.org/pdf/1703.06218;

  • Krishna, R., Agrawal, A., Rahman, A., Sobran, A., & Menzies, T. “What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects)”. Intl. Conf. Software Engineering (ICSE), 2018 SEIP. Online: https://arxiv.org/pdf/1710.08736;

  • Chen, D., Fu, W., Krishna, R., & Menzies, T. “Applications of psychological science for actionable analytics”. Intl. Conference on Foundations of Software Engineering (ECSE/FSE), 2018. Online: https://arxiv.org/pdf/1803.05067;

  • Chen, J., Nair, V., Krishna, R., & Menzies, T. “Sampling as a Baseline Optimizer for Search-based Software Engineering”. IEEE Transactions on Software Engineering (TSE), 2018. Online: https://arxiv.org/pdf/1608.07617;

  • Agrawal, A., Rahman, A., Krishna, R., Sobran, A. & Menzies, T. “We Don’t Need Another Hero? The Impact of ‘Heroes’ on Software Development”. Intl. Conf. Software Engineering (ICSE), 2018 SEIP. Online: https://arxiv.org/pdf/1710.09055;

  • Rahman, A., Agrawal, A., Krishna, R., Sobran, A. & Menzies, T. “Characterizing The Influence of Continuous Integration. Empirical Results from 250+ Open Source and Proprietary Project”. Intl. Conference on Foundations of Software Engineering (ICSE), SWAN 2018. Online: https://arxiv.org/pdf/1711.03933;

  • Krishna, R., Menzies, T., & Layman, L. “Less is more: Minimizing code reorganization using XTREE”. In Information and Software Technology (IST), 2017. Online: https://arxiv.org/pdf/1609.03614;

  • Krishna, R., Menzies, T., & Fu, W. “Too much automation? The Bellwether Effect and its Implications for Transfer Learning.” Intl. Conference on Automated Software Engineering (ASE), 2016. Online: https://doi.org/10.1145/2970276.2970339;

  • Krishna, R., Yu, Z., Agrawal, A., Dominguez, M., Wolf, D. “The ‘BigSE’ Project: Lessons Learned from Validating Industrial Text Mining. “. Intl. Workshop on Big Data Software Engineering (ICSE), 2016. Online: http://tiny.cc/BIGDSE16;

  • Krishna, R. & Menzies, T. “Actionable=Cluster+Contrast?”. Intl. Conference on Automated Software Engineering (ASE), Action 15 Workshop, 2015. Online: http://tiny.cc/ase15action;

  • Ganesh, M.R., Krishna, R., Manikantan, K. & Ramachandran, S., “Entropy based Binary Particle Swarm Optimization and classification for ear detection”. Engineering Applications of Artificial Intelligence, 2014., Online: http://tiny.cc/EBPSO14;