Umamaheswara Sharma Bhutamapuram

Orcid: 0000-0003-1676-3347

According to our database1, Umamaheswara Sharma Bhutamapuram authored at least 8 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

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.
Autom. Softw. Eng., November, 2025

LLMs for Defect Prediction in Evolving Datasets: Emerging Results and Future Directions.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

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.
J. Syst. Softw., 2023

The Probabilistic Bounds on the Feasibility of the Defect Prediction Models in Real-World Testing Environments.
CoRR, 2023

Some Investigations of Machine Learning Models for Software Defects.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
With-in-project defect prediction using bootstrap aggregation based diverse ensemble learning technique.
J. King Saud Univ. Comput. Inf. Sci., 2022

Towards Developing and Analysing Metric-Based Software Defect Severity Prediction Model.
CoRR, 2022

An Empirical Evaluation of Defect Prediction Models Using Project-Specific Measures.
Proceedings of the Joint Proceedings of the 10th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2022) & the 6th Software Engineering Education Workshop (SEED 2022) co-located with 29th Asia Pacific Software Engineering Conference 2022, 2022


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