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What Cross-Language Code Plagiarism Detection Can and Cannot See General 11 min
James Okafor James Okafor · 2 weeks ago

What Cross-Language Code Plagiarism Detection Can and Cannot See

Cross-language code plagiarism detection compares normalized structure rather than raw text, which works when a translation was mechanical and fails when the student rewrote the algorithm. Here is what survives a Java-to-Python translation, what the token and IR approaches actually see, and how to run the check across a whole cohort without drowning in false positives.

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How Cross-Language Code Plagiarism Detection Works General 13 min
Alex Petrov Alex Petrov · 2 weeks ago

How Cross-Language Code Plagiarism Detection Works

A Java submission and a Python submission looked nothing alike, but they were the same algorithm translated line by line. This is the story of how cross-language code plagiarism detection actually works, where it catches translated code, and where it still fails.

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Interpreting Code Similarity Scores in Programming Courses General 9 min
Priya Sharma Priya Sharma · 2 weeks ago

Interpreting Code Similarity Scores in Programming Courses

Similarity scores are ranking signals, not verdicts. I'll walk through the distributions, thresholds, and triage rules I use when reviewing code similarity reports for 400-student courses, plus where AI-generated code fits in the same queue.

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The Long Road to Refactoring-Resistant Code Plagiarism Detection General 6 min
Alex Petrov Alex Petrov · 3 weeks ago

The Long Road to Refactoring-Resistant Code Plagiarism Detection

A hands-on retrospective on how code similarity detection grew from naive line diffs to tokenization, ASTs, and fingerprinting. Follow a step-by-step Python prototype and a production workflow with Codequiry to catch refactored plagiarism in CS courses.

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A TA's Script for Sorting 300 Code Similarity Reports by Office Hours General 8 min
Rachel Foster Rachel Foster · 3 weeks ago

A TA's Script for Sorting 300 Code Similarity Reports by Office Hours

A teaching assistant at UC San Diego reduced a 312-submission similarity queue to a shortlist of 14 files in about two hours. The workflow relies on Codequiry's outlier scoring, a Python triage script, and a strict two-pass review rule. Here is the exact process, including the script and the thresholds she uses.

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How Code Plagiarism Detection Algorithms Ignore Renamed Variables General 9 min
Marcus Rodriguez Marcus Rodriguez · 4 weeks ago

How Code Plagiarism Detection Algorithms Ignore Renamed Variables

A student renames every variable and converts for loops to while loops. MOSS still flags 94%. This guide builds a minimal winnowing detector in Python 3.11 so you can see exactly why code plagiarism detection algorithms survive refactoring. We then look at where the approach breaks and how AST matching fills the gap.

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Why a 400-Student Intro Course Adopted Layered Code Checks General 11 min
Dr. Sarah Chen Dr. Sarah Chen · 4 weeks ago

Why a 400-Student Intro Course Adopted Layered Code Checks

One CS department's switch from a single similarity tool to a layered detection workflow changed what they could see in student code. Peer copying, web sources, and AI-generated submissions each required different signals, and combining them revealed more than any one check alone.

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How to Detect Code Copied From Online Sources in Student Submissions General 9 min
Alex Petrov Alex Petrov · 1 month ago

How to Detect Code Copied From Online Sources in Student Submissions

A bootcamp instructor walks through the exact workflow he uses to catch student code copied from tutorials, GitHub repos, and Stack Overflow answers, including what peer-only checkers miss, how to read web match reports without false positives, and where Codequiry fits.

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Scanning 9,301 Python Files for Stack Overflow Copy-Paste General 10 min
James Okafor James Okafor · 1 month ago

Scanning 9,301 Python Files for Stack Overflow Copy-Paste

A practical, code-level guide to batch-scanning Python files for web-sourced code. We walk through token normalization, fingerprinting, uploading to Codequiry, interpreting web match URLs, and stacking an AI check on flagged files. Built for CS professors auditing assignments and engineering managers verifying contractor code.

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