An Empirical Evaluation of Defect Prediction Models Using Project-Specific Measures. - Umamaheswara Sharma Bhutamapuram; Ravichandra Sadam (QuASoQ/SEED@APSEC, 2022)

Towards Developing and Analysing Metric-Based Software Defect Severity Prediction Model. - Umamaheswara Sharma Bhutamapuram; Ravichandra Sadam (CoRR, 2022)

With-in-project defect prediction using bootstrap aggregation based diverse ensemble learning technique. - Umamaheswara Sharma Bhutamapuram; Ravichandra Sadam (J. King Saud Univ. Comput. Inf. Sci., 2022)

Some Investigations of Machine Learning Models for Software Defects. - Umamaheswara Sharma Bhutamapuram (ICSE Companion, 2023)

The Probabilistic Bounds on the Feasibility of the Defect Prediction Models in Real-World Testing Environments. - Umamaheswara Sharma Bhutamapuram; Ravichandra Sadam (CoRR, 2023)

How far does the predictive decision impact the software project? The cost, service time, and failure analysis from a cross-project defect prediction model. - Umamaheswara Sharma Bhutamapuram; Ravichandra Sadam (J. Syst. Softw., 2023)

LLMs for Defect Prediction in Evolving Datasets: Emerging Results and Future Directions. - Umamaheswara Sharma Bhutamapuram; Farhan Chonari; Gokul K. Anilkumar; Sai Kiran Konchada (SIGSOFT FSE Companion, 2025)

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. - Umamaheswara Sharma Bhutamapuram; Ravichandra Sadam (Autom. Softw. Eng., 2025)