Software Similarity Dataset

This dataset contains the post-processed data for software similarity learning. More information is given: SoftwareSim_Github post_process: All embedded software with autoencoder to make sure each function is the same length (1024 bits), each final is the embedded graph representation of software. final_data: All information obtained by Somef & Inspect4py as well as cleaning. Each file represents software in the format given --> Function_Name: [[Called Function], [Function Tokens]] lean_simscore.csv: This file contains software pairs as well as the similarity metrics, format is given: Property Example Graph_1 kakaobrain_helo_word Graph_2 mblondel_soft-dtw miniLM 0.4503 Sbert 0.7204 TSDAE 0.5714