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Vidhyashree Nagaraju
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Journal Articles
- 2022
- [j8]Joshua Steakelum, Jacob Aubertine, Kenan Chen, Vidhyashree Nagaraju, Lance Fiondella
:
Multi-phase algorithm design for accurate and efficient model fitting. Ann. Oper. Res. 311(1): 357-379 (2022) - [j7]Jacob Aubertine
, Kenan Chen, Vidhyashree Nagaraju, Lance Fiondella:
A covariate software tool to guide test activity allocation. SoftwareX 17: 100909 (2022) - 2020
- [j6]Vidhyashree Nagaraju
, Chathuri L. Jayasinghe, Lance Fiondella:
Optimal test activity allocation for covariate software reliability and security models. J. Syst. Softw. 168: 110643 (2020) - 2019
- [j5]Vidhyashree Nagaraju
, Venkateswaran Shekar, Joshua Steakelum, Melanie Luperon, Ying Shi, Lance Fiondella:
Practical software reliability engineering with the Software Failure and Reliability Assessment Tool (SFRAT). SoftwareX 10: 100357 (2019) - [j4]Vidhyashree Nagaraju
, Lance Fiondella
, Thierry Wandji:
A heterogeneous single changepoint software reliability growth model framework. Softw. Test. Verification Reliab. 29(8) (2019) - 2017
- [j3]Bentolhoda Jafary, Vidhyashree Nagaraju
, Lance Fiondella:
Impact of Correlated Component Failure on Preventive Maintenance Policies. IEEE Trans. Reliab. 66(2): 575-586 (2017) - [j2]Vidhyashree Nagaraju
, Lance Fiondella, Panlop Zeephongsekul, Chathuri L. Jayasinghe, Thierry Wandji:
Performance Optimized Expectation Conditional Maximization Algorithms for Nonhomogeneous Poisson Process Software Reliability Models. IEEE Trans. Reliab. 66(3): 722-734 (2017) - 2016
- [j1]Panlop Zeephongsekul, Chathuri L. Jayasinghe, Lance Fiondella, Vidhyashree Nagaraju
:
Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm. IEEE Trans. Reliab. 65(3): 1571-1583 (2016)
Conference and Workshop Papers
- 2022
- [c6]Vidhyashree Nagaraju, Shadow Pritchard, Lance Fiondella:
Adaptive Incremental Learning for Software Reliability Growth Models. HCI (5) 2022: 352-366 - [c5]A. Shubha Rao, K. Mahantesh, Vidhyashree Nagaraju:
VIRNet for Image Retrieval: One for All Top Based on Feature Fusion Technique. HCI (37) 2022: 378-386 - [c4]Timothy Flavin, Thomas Steiner, John Reaves, Julian Abhari, Zoe Delap, Bhaskar Mitra, Vidhyashree Nagaraju:
ML Democracy: An Enhanced Voting Algorithm for Model Selection for Efficient EEG Data Assessment. ICMLA 2022: 1815-1820 - [c3]Shadow Pritchard, Vidhyashree Nagaraju, Lance Fiondella:
Automating Staged Rollout with Reinforcement Learning. ICSE (NIER) 2022: 16-20 - 2020
- [c2]Maskura Nafreen, Melanie Luperon, Lance Fiondella, Vidhyashree Nagaraju, Ying Shi, Thierry Wandji:
Connecting Software Reliability Growth Models to Software Defect Tracking. ISSRE 2020: 138-147 - 2018
- [c1]Vidhyashree Nagaraju
:
Software Reliability Assessment: Modeling and Algorithms. ISSRE Workshops 2018: 166-169
Informal and Other Publications
- 2024
- [i2]Shadow Pritchard, Bhaskar Mitra, Vidhyashree Nagaraju:
Three-Stage Adjusted Regression Forecasting (TSARF) for Software Defect Prediction. CoRR abs/2401.17545 (2024) - 2022
- [i1]Shadow Pritchard, Vidhyashree Nagaraju, Lance Fiondella:
Automating Staged Rollout with Reinforcement Learning. CoRR abs/2204.02189 (2022)
Coauthor Index
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