International Journal of Computational Intelligence Systems

Volume 6, Issue 6, December 2013, Pages 1143 - 1150

Synthesis Algorithm of Homology Detection Based on AHP

Authors
Baojiang Cui, Wenhao Fan, Ce Bian, Tao Guo, Yongle Hao, Jianxin Wang
Corresponding Author
Baojiang Cui
Available Online 9 January 2017.
DOI
https://doi.org/10.1080/18756891.2013.820948How to use a DOI?
Keywords
software homology, Analytic Hierarchy Process, synthesis algorithm
Abstract
Traditional software homology detection techniques based on text, token, abstract syntax tree in many cases get the real similarity inaccurately when they work alone. In this paper, a synthesis algorithm based on Analytic Hierarchy Process (AHP) is proposed, which combines text, token, syntax tree comparison algorithms synthetically according to their contributions to performance factors such as omission ratio and fall-out ratio. Numerous results indicate that the synthesis algorithm reflects software homologous similarity more accurately.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 6
Pages
1143 - 1150
Publication Date
2017/01
ISSN
1875-6883
DOI
https://doi.org/10.1080/18756891.2013.820948How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Baojiang Cui
AU  - Wenhao Fan
AU  - Ce Bian
AU  - Tao Guo
AU  - Yongle Hao
AU  - Jianxin Wang
PY  - 2017
DA  - 2017/01
TI  - Synthesis Algorithm of Homology Detection Based on AHP
JO  - International Journal of Computational Intelligence Systems
SP  - 1143
EP  - 1150
VL  - 6
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.820948
DO  - https://doi.org/10.1080/18756891.2013.820948
ID  - Cui2017
ER  -