DEPARTMENTS
B. Umamaheswara Sharma
B. Umamaheswara Sharma

Assistant Professor

Office Address:

MB 206, Main Block, Department of Computer Science and Engineering, National Institute of Technology Calicut, Kozhikode, 673601.

Contact no:

+91 (495) 228 1310

Home Address:

  • Ph.D. CSE, National Institute of Technology Warangal, 2023

  • M. Tech. Artificial Intelligence, University of Hyderabad, 2014

  • Educational Qualifications

    • Ph.D. CSE, National Institute of Technology Warangal, 2023

    • M. Tech. Artificial Intelligence, University of Hyderabad, 2014

    Journals

    Bhutamapuram, Umamaheswara Sharma, and Ravichandra Sadam. "With-in-project defect prediction using bootstrap aggregation based diverse ensemble learning technique." Journal of King Saud University-Computer and Information Sciences 34.10 (2022): 8675-8691.

    Sharma, Umamaheswara, and Ravichandra Sadam. "How far does the predictive decision impact the software project? The cost, service time, and failure analysis from a cross-project defect prediction model." Journal of Systems and Software 195 (2023): 111522.

    Pavan, Vadapalli Durga Rama, Vangety Nikhil, Koustav Dey, B. Umamaheswara Sharma, and Sourabh Roy. "Analysing group indices and dispersion characteristics of engineered photonic crystal waveguides using artificial neural network." Journal of Optics 53, no. 2 (2024): 1438-1446.

    Umamaheswara Sharma B and Sadam Ravichandra. "The Probabilistic Bounds on the Feasibility of the Defect Prediction Models in Real-World Testing Environments." arXiv preprint arXiv:2301.06303 (2023).

    Umamaheswara Sharma  B and Sadam Ravichandra. "Do the Defect Prediction Models Really Work?." arXiv preprint arXiv:2301.05411 (2023).

    Bhutamapuram, Umamaheswara Sharma, and Ravichandra Sadam. "Measuring the Impact of Predictive Models on the Software Project: A Cost, Service Time, and Risk Evaluation of a Metric-based Defect Severity Prediction Model." (2024).

    Conferences

    Bhutamapuram, Umamaheswara Sharma. "Some Investigations of Machine Learning Models for Software Defects." 2023 IEEE/ACM 45th International Conference on Software Engineering. IEEE, 259-263, 2023.

    Bhutamapuram, Umamaheswara Sharma, and Ravichandra Sadam. "An Empirical Evaluation of Defect Prediction Models Using Project-Specific Measures." QuASoQ/SEED@ APSEC, 25-32, 2022.

    Professional Experience

    • Assistant Professor, Department of CSE, National Institute of Technology Calicut, January 2014 - Present

    • Assistant Professor, Department of CSE, Amrita Vishwa Vidyapeetham, Coimbatore, April 2023- January 2024

    • Research Project Assistant - October 2015 - June 2016

    • Software Developer - Keste, July 2014 - February 2015

    Research Contributions

    • During my PhD, I proposed several performance measures for better estimating the predictions of the software defect prediction models. It is of first kind to propose such measures, so that, any researcher working in the area of software defect prediction, can make use of these performance measures. In addition, I am working on providing the real-world feasibility of the developed ML models. This is essential because, ML/DL/GenAI is not the solution for every problem!!!

    Software Engineering, Machine Learning, Software Reliability, and Document Analysis and Recognition.