SAGA: Efficient and large-scale detection of near-miss clones with GPU acceleration

• Main Authors: LI, Guanhua, WU, Yijian, ROY, Chanchal K., SUN, Jun, PENG, Xin, ZHAN, Nanjie, HU, Bin, MA, Jingyi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: big code; clone detection; GPU acceleration; near-miss clone; segment clone; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5976; https://ink.library.smu.edu.sg/context/sis_research/article/6979/viewcontent/SAGA_gpu_SANER2020_av.pdf
• Institution: Singapore Management University

Clone detection on large code repository is necessary for many big code analysis tasks. The goal is to provide rich information on identical and similar code across projects. Detecting near-miss code clones on big code is challenging since it requires intensive computing and memory resources as the...