Priya studies AI-assisted coding in the classroom and how detection tools hold up against ChatGPT, Copilot, Claude and Gemini output.
General
7 min
Priya Sharma
•
6 months ago
We analyzed over 2.5 million commits across 400 projects to identify which static analysis warnings actually matter. The results challenge decades of conventional wisdom. Most teams are measuring the wrong things and missing the real signals buried in their code.
Academic Integrity
6 min
Priya Sharma
•
6 months ago
Traditional plagiarism tools compare student submissions against each other, creating a blind spot to the internet's vast code repository. When a student copies a solution from Stack Overflow or clones a GitHub repo, standard similarity checks often fail. This article breaks down the technical and pedagogical methods to close this critical integrity gap.
General
4 min
Priya Sharma
•
7 months ago
Technical debt is an invisible tax on your team's productivity. The real problem isn't that it exists—it's that most teams can't measure it. We'll break down the key static analysis metrics that turn subjective code quality debates into objective, actionable data for engineering managers and CTOs.
AI Detection
9 min
Priya Sharma
•
7 months ago
AI code generators are changing how students complete assignments. This guide provides CS educators with concrete methods to detect AI-generated code, from analyzing structural patterns to using specialized detection platforms. Learn to maintain academic integrity in the age of Copilot and ChatGPT.