3 papers
cs.SE2026
Detection of LLM-assisted Code Plagiarism Using k-gram Software Birthmarks
Nikolay Fedorov, Akito Monden, Hiroki Inayoshi +2
Large language models (LLMs) have significantly lowered the technical barrier to software plagiarism. By transforming existing source code while preserving its functionality, moder…
cs.SE2026
Project-wise Comparison of Software Birthmarks Using Weighted Partial Similarity
Nikolay Fedorov, Akito Monden, Hiroki Inayoshi +2
Software birthmarks provide a robust approach to detecting code plagiarism even under substantial modifications, while distinguishing independently developed software. Existing sim…
cs.SE2024
Building Defect Prediction Models by Online Learning Considering Defect Overlooking
Nikolay Fedorov, Yuta Yamasaki, Masateru Tsunoda +5
Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model, when a new data point is added. However…