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Exploring Code Clones in Programmable Logic Controller Software

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The reuse of code fragments by copying and pasting is widely practiced in software development and results in code clones. Cloning is considered an anti-pattern as it negatively affects program correctness and increases maintenance efforts. Programmable Logic Controller (PLC) software is no exception in the code clone discussion as reuse in development and maintenance is frequently achieved through copy, paste, and modification. Even though the presence of code clones may not necessary be a problem per se, it is important to detect, track and manage clones as the software system evolves. Unfortunately, tool support for clone detection and management is not commonly available for PLC software systems or limited to generic tools with a reduced set of features. In this paper, we investigate code clones in a real-world PLC software system based on IEC 61131-3 Structured Text and C/C++. We extended a widely used tool for clone detection with normalization support. Furthermore, we evaluated the different types and natures of code clones in the studied system and their relevance for refactoring. Results shed light on the applicability and usefulness of clone detection in the context of industrial automation systems and it demonstrates the benefit of adapting detection and management tools for IEC 611313-3 languages.
Original languageEnglish
Title of host publication22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA)
Pages1-8
Number of pages8
ISBN (Electronic)9781509065059
DOIs
Publication statusPublished - 28 Jun 2017

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fields of science

  • 102 Computer Sciences
  • 102022 Software development

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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