Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/31719
Title: Multi-level analysis of IEC 61131-3 languages to detect clones
Contributor(s): Jnanamurthy, H K (author); Jetley, Raoul (author); Henskens, Frans (author); Paul, David  (author)orcid ; Wallis, Mark (author); Sudarsan, S D (author)
Publication Date: 2020
Early Online Version: 2020-10-19
DOI: 10.1504/IJCAT.2020.110413
Handle Link: https://hdl.handle.net/1959.11/31719
Abstract: 

Nowadays, automation can be assisted by using programmable logic controllers (PLCs). PLCs are typically programmed with IEC 61131-3 languages to automate and implement the applications. PLC program classification plays an important role in the identification of similar functionality, which can be considered as software clones. In this paper, we present work to identify clones in IEC 61131-3 languages, using an approach based on four different perspectives: (a) clone prediction: filtering based on heuristics; (b) structural analysis: detect syntactic code clones; (c) semantic analysis: analysis of output variable dependency and input variable impact usage to detect semantic clones; (d) variable interval analysis: analysis of each program variable intervals to examine and detect clones. Our approach is a combination of structural, semantic and data interval based analysis. As a result, our approach is feasible and yields good results in detecting clones on our test data.

Publication Type: Journal Article
Source of Publication: International Journal of Computer Applications in Technology, 63(4), p. 286-299
Publisher: Inderscience Publishers
Place of Publication: Switzerland
ISSN: 1741-5047
0952-8091
Fields of Research (FoR) 2020: 460104 Applications in physical sciences
460207 Modelling and simulation
Socio-Economic Objective (SEO) 2020: 220402 Applied computing
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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