Litcius/Paper detail

Formalization of Design Patterns and Their Automatic Identification in PLC Software for Architecture Assessment

Eva-Maria Neumann, Birgit Vogel‐Heuser, Juliane Fischer, Felix Ocker, Sebastian Diehm, Michael Schwarz

2020IFAC-PapersOnLine15 citationsDOIOpen Access PDF

Abstract

Due to current trends in automation technology such as mass customization and an increasing variety of products, control software (SW) in automated Production Systems (aPS) is becoming increasingly complex. Thus, the need for suitable modularization strategies as a prerequisite for planned reuse increases. In classical high-level language programming, frequently recurring problems are often solved through reusable design patterns. In the control SW development of aPS, however, this approach is still not widely spread. Hence, this paper investigates how design patterns can be used for evaluating modularity in the context of control SW architecture by proposing criteria for classifying and formalizing patterns in aPS SW structure. On that basis, a prototypical implementation is proposed to evaluate the concept and to enable an automated pattern identification and interpretation in an industrial context.

Topics & Concepts

Computer scienceModularity (biology)Modular programmingSoftware design patternSoftware engineeringAutomationContext (archaeology)Mass customizationReuseIdentification (biology)Design patternArchitectureVariety (cybernetics)SoftwareSystems engineeringPersonalizationProgramming languageArtificial intelligenceEngineeringWorld Wide WebPaleontologyVisual artsWaste managementMechanical engineeringBiologyArtBotanyGeneticsFlexible and Reconfigurable Manufacturing SystemsPetri Nets in System ModelingManufacturing Process and Optimization