A Clone Code Detection Method Based on Software Complex Network

Submitted by grigby1 on Mon, 04/06/2020 - 1:23pm

Title	A Clone Code Detection Method Based on Software Complex Network
Publication Type	Conference Paper
Year of Publication	2019
Authors	Guo, Haoran, Ai, Jun, Shi, Tao
Conference Name	2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)
Date Published	oct
Publisher	IEEE
ISBN Number	978-1-7281-5138-0
Keywords	added features, clone code detection method, clone codes information, clone-code-detection, code comparison, complex networks, composability, compositionality, cyber physical systems, feature-matching, Information Reuse and Security, Metrics, network coding, open source code, program diagnostics, pubcrawl, resilience, Resiliency, security analysis, security of data, software clone detection, software complex network feature matching, software maintenance, software network model, software-network, software-security
Abstract	This paper introduces complex network into software clone detection and proposes a clone code detection method based on software complex network feature matching. This method has the following properties. It builds a software network model with many added features and codes written with different languages can be detected by a single method. It reduces the space of code comparison, and it searches similar subnetworks to detect clones without knowing any clone codes information. This method can be used in detecting open source code which has been reused in software for security analysis.
URL	https://ieeexplore.ieee.org/document/8990341
DOI	10.1109/ISSREW.2019.00059
Citation Key	guo_clone_2019

Groups:

Science of Security VO