1 citations · 1 across the 6 of their papers we have counts for
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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…
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…