4 papers
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…
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…
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…
Software Defect Prediction by Online Learning Considering Defect Overlooking
Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda +5
Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model when adding a new data point. However, p…