Detecting Flow of Sensitive Data in Mini-Programs with Static Taint Analysis

An Empirical Study of Date and Time Bugs in Open-Source Python Software.

Quantifying prompt quality using information theory: entropy and mutual information analysis of 1,800 LLM generations

Large-scale empirical study analyzing 1.7M developer-written Java tests to characterize test scope, fixtures, assertions, inputs, and mocking patterns.

This repository contains the LaTeX source code and additional resources for a research paper that was accepted for publication at the 2021 Mining Software Repositories Conference.

Machine learning framework for detecting flaky tests and improving CI/CD pipeline reliability.

📡 Visualize and understand amateur radio antenna patterns and physics through an interactive 3D platform designed for Ham Radio enthusiasts.

Empirical study of linear, exact-kernel, and approximate-kernel classifiers on nonlinear binary classification tasks.

An empirical study improving Financial RAG accuracy by 37.5% (50.0% → 68.8%) using Structure-Aware Parsing. Benchmarking LlamaParse vs. PyPDF on complex cross-row tabular reasoning tasks.

Official AI ROI Dataset (N=200). Longitudinal analysis of B2B AI deployments (2022-2025). Verified 159.8% median ROI. Peer-reviewed methodology for SMEs/ETIs and Fractional CAIOs.

Empirical study analyzing design pattern relevance in the Gen-AI era through modularity and performance benchmarks using Java & JMH

Detects dynamic JavaScript that may leak sensitive data using a browser extension and server-side diffing. Based on an empirical study by Sebastian et al. (2015).

This repository is for the IC-377 research

A comparative empirical evaluation assessing the capabilities of AI coding assistants (GitHub Copilot and Windsurf) for generating Infrastructure-as-Code with Terraform.

Empirical study of persona injection, hallucination, and context persistence in commercial LLMs (GPT-4o-mini, Claude 3 Haiku, Gemini 1.5 Flash). ST5230 course project.

An empirical case study of migrating eSUSTAV (a real-world multi-tenant web platform) from a monolithic React/Vite application to a Webpack 5 Module Federation microfrontend architecture using an Nx monorepo.

Empirical study of multi-turn retrieval degradation in agentic RAG systems. 150 sessions, 550 turns from a production math tutoring deployment. Pearson r = -0.283, p < 0.0001.

How Hard is Microservice Anomaly Detection?

📊 Explore how Shannon entropy and mutual information can quantify prompt quality in generative AI systems across various temperature settings.

Predict and detect flaky tests in CI/CD pipelines using machine learning to improve test stability and reduce false failures.