Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm. - Panlop Zeephongsekul; Chathuri L. Jayasinghe; Lance Fiondella; Vidhyashree Nagaraju (IEEE Trans. Reliab., 2016)

Impact of Correlated Component Failure on Preventive Maintenance Policies. - Bentolhoda Jafary; Vidhyashree Nagaraju; Lance Fiondella (IEEE Trans. Reliab., 2017)

Performance Optimized Expectation Conditional Maximization Algorithms for Nonhomogeneous Poisson Process Software Reliability Models. - Vidhyashree Nagaraju; Lance Fiondella; Panlop Zeephongsekul; Chathuri L. Jayasinghe; Thierry Wandji (IEEE Trans. Reliab., 2017)

Software Reliability Assessment: Modeling and Algorithms. - Vidhyashree Nagaraju (ISSRE Workshops, 2018)

Practical software reliability engineering with the Software Failure and Reliability Assessment Tool (SFRAT). - Vidhyashree Nagaraju; Venkateswaran Shekar; Joshua Steakelum; Melanie Luperon; Ying Shi; Lance Fiondella (SoftwareX, 2019)

A heterogeneous single changepoint software reliability growth model framework. - Vidhyashree Nagaraju; Lance Fiondella; Thierry Wandji (Softw. Test. Verification Reliab., 2019)

Connecting Software Reliability Growth Models to Software Defect Tracking. - Maskura Nafreen; Melanie Luperon; Lance Fiondella; Vidhyashree Nagaraju; Ying Shi; Thierry Wandji (ISSRE, 2020)

Optimal test activity allocation for covariate software reliability and security models. - Vidhyashree Nagaraju; Chathuri L. Jayasinghe; Lance Fiondella (J. Syst. Softw., 2020)

Adaptive Incremental Learning for Software Reliability Growth Models. - Vidhyashree Nagaraju; Shadow Pritchard; Lance Fiondella (HCI (5), 2022)

VIRNet for Image Retrieval: One for All Top Based on Feature Fusion Technique. - A. Shubha Rao; K. Mahantesh; Vidhyashree Nagaraju (HCI (37), 2022)

ML Democracy: An Enhanced Voting Algorithm for Model Selection for Efficient EEG Data Assessment. - Timothy Flavin; Thomas Steiner; John Reaves; Julian Abhari; Zoe Delap; Bhaskar Mitra 004; Vidhyashree Nagaraju (ICMLA, 2022)

Automating Staged Rollout with Reinforcement Learning. - Shadow Pritchard; Vidhyashree Nagaraju; Lance Fiondella (ICSE (NIER), 2022)

Multi-phase algorithm design for accurate and efficient model fitting. - Joshua Steakelum; Jacob Aubertine; Kenan Chen; Vidhyashree Nagaraju; Lance Fiondella (Ann. Oper. Res., 2022)

A covariate software tool to guide test activity allocation. - Jacob Aubertine; Kenan Chen; Vidhyashree Nagaraju; Lance Fiondella (SoftwareX, 2022)

Reliability Evaluation of CNN-enabled Systems in Adversarial Scenarios. - Karen da Mata; Zakaria Faddi; Priscila Silva; Vidhyashree Nagaraju; Susmita Ghosh; Gökhan Kul; Lance Fiondella (ICAA, 2024)

Three-Stage Adjusted Regression Forecasting (TSARF) for Software Defect Prediction. - Shadow Pritchard; Bhaskar Mitra 004; Vidhyashree Nagaraju (CoRR, 2024)