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本数据集包含用于软件相似性学习的后处理数据。更多详细信息如下： SoftwareSim_Github 后处理模块：所有软件均通过自编码器（autoencoder）进行处理，以确保每个函数的长度统一为1024比特，最终输出为软件的嵌入式图表示形式。 final_data：由Somef与Inspect4py工具采集并经清洗处理后的全部信息。每个文件均按照指定格式表征软件，格式为：函数名: [[被调用函数], [函数Token（Function Tokens）]] lean_simscore.csv：该文件存储软件对及其相似性度量指标，格式说明如下： 属性 示例 Graph_1 kakaobrain_helo_word Graph_2 mblondel_soft-dtw miniLM 0.4503 Sbert 0.7204 TSDAE 0.5714