1 citations · 1 across the 6 of their papers we have counts for
6 papers
Compound Prompt Constraints in LLM Code Generation: A Factorial Study of Format, Persona, and Urgency
Shrenik Jadhav, Nickalsa LaPlaca, Caleb Stone +3
Large language models (LLMs) are increasingly used in software engineering pipelines for code generation, where production prompts often combine multiple constraints. This paper pr…
Data Center Life Cycle Co-Design Optimization
Shrenik Jadhav, Vidhyashree Nagaraju, Zheng Liu
Liquid cooled supercomputers dissipate tens of megawatts of waste heat through cooling plants organized as parallel subloops that serve coolant distribution units. The number of su…
Three-Stage Adjusted Regression Forecasting (TSARF) for Software Defect Prediction
Shadow Pritchard, Bhaskar Mitra, Vidhyashree Nagaraju
Software reliability growth models (SRGM) enable failure data collected during testing. Specifically, nonhomogeneous Poisson process (NHPP) SRGM are the most commonly employed mode…
Automating Staged Rollout with Reinforcement Learning
Shadow Pritchard, Vidhyashree Nagaraju, Lance Fiondella
Staged rollout is a strategy of incrementally releasing software updates to portions of the user population in order to accelerate defect discovery without incurring catastrophic o…
Bayesian Ridge Regression Based Model to Predict Fault Location in HVdc Network
Timothy Flavin, Thomas Steiner, Bhaskar Mitra +1
This paper discusses a method for accurately estimating the fault location in multi-terminal High Voltage direct current (HVdc) transmission network using single ended current and…
Fault location in High Voltage Multi-terminal dc Networks Using Ensemble Learning
Timothy Flavin, Bhaskar Mitra, Vidhyashree Nagaraju +1
Precise location of faults for large distance power transmission networks is essential for faster repair and restoration process. High Voltage direct current (HVdc) networks using…