This repository provides the source code and experimental resources for ProSRL (Prototype-guided Semantic Representation Learning), a prototype-guided approach for cross-project defect prediction (CPDP). ProSRL learns semantic representations from lightweight syntax graphs and incorporates prototype-guided semantic representation learning and distribution adaptation to improve defect prediction across different software projects. ProSRL is implemented in Python and is recommended to be executed on Linux, ideally Ubuntu 22.04.3 LTS. Prerequisites Ubuntu 22.04.3 LTS Python 3.8+ PyTorch DGL CUDA-compatible NVIDIA GPU The experiments reported in the paper were conducted using an NVIDIA GPU with…
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ProtoCodeLab
ProtoCodeLab
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Models on Hugging Face1
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