Engineering process for an online testing process of control software in production systems

ETFA2011 ◽  
2011 ◽  
Author(s):  
Benjamin Kormann ◽  
Birgit Vogel-Heuser ◽  
Reinhard Hametner ◽  
Alois Zoitl
Keyword(s):  
Production Systems ◽  
Online Testing ◽  
Engineering Process ◽  
Control Software

scholarly journals Success Factors for the Design of Field-level Control Code in Machine and Plant Manufacturing - an Industrial Survey -

2021 ◽  
Author(s):  
Birgit Vogel-Heuser ◽  
Juliane Fischer ◽  
Eva-Maria Neumann ◽  
Matthias Kreiner
Keyword(s):  
Software Engineering ◽  
Success Factors ◽  
Production Systems ◽  
Development Effort ◽  
Manufacturing Companies ◽  
Level Control ◽  
Control Software ◽  
Automated Production ◽  
Field Level ◽  
Control Code

Abstract The amount of software in automated production systems, including its development effort, is continuously increasing to currently up to 35-50% of the development personnel. Consequently, success factors for achieving modularity and complexity management of control software are of high economic interest. Scientific solutions are manifold but often not implemented in industry. This paper introduces the study QoaPS SWE (Quality of automated Production Systems’ Software Engineering) providing insights into 61 machine and plant manufacturing companies to give quantitative and qualitative results to five essential research questions on success factors in the design of field-level control code. Compared to preceding surveys, QoaPS SWE achieves statistically significant results for software maturity (MMOD+), complexity, and model-based software engineering and provides detailed insights into causes and consequences for single criteria, thus clearly identifying obstacles to be addressed in future research and with industrial countermeasures. Especially staff qualification and organizational issues are identified as obstacles to applying the object-oriented programming paradigm for control software in machine and plant manufacturing. Validity is ensured by analyzing the statistical significance of the results in addition to comparisons with earlier surveys and interviews as well as the comparison with already existing and accepted maturity levels. The provided qualitative and quantitative results will allow the benchmarking of companies’ maturity and the derivation of concrete recommendations for companies depending on their MMOD+ value and the evaluated characteristics.

scholarly journals MICOSE4aPS: Industrially Applicable Maturity Metric to Improve Systematic Reuse of Control Software

2022 ◽  
Vol 31 (1) ◽  
pp. 1-24
Author(s):  
Birgit Vogel-Heuser ◽  
Eva-Maria Neumann ◽  
Juliane Fischer
Keyword(s):  
Food Packaging ◽  
Manufacturing Industry ◽  
Production Systems ◽  
System Quality ◽  
Control Software ◽  
Mechatronic Systems ◽  
Automated Production ◽  
Quality Of Control ◽  
Software Modules ◽  
Systematic Reuse

automated Production Systems (aPS) are highly complex, mechatronic systems that usually have to operate reliably for many decades. Standardization and reuse of control software modules is a core prerequisite to achieve the required system quality in increasingly shorter development cycles. However, industrial case studies in aPS show that many aPS companies still struggle with strategically reusing software. This paper proposes a metric-based approach to objectively measure the m aturity of i ndustrial IEC 61131-based co ntrol s oftwar e in aPS (MICOSE4aPS) to identify potential weaknesses and quality issues hampering systematic reuse. Module developers in the machine and plant manufacturing industry can directly benefit as the metric calculation is integrated into the software engineering workflow. An in-depth industrial evaluation in a top-ranked machine manufacturing company in food packaging and an expert evaluation with different companies confirmed the benefit of efficiently managing the quality of control software.

scholarly journals Key maturity indicators for module libraries for PLC-based control software in the domain of automated Production Systems

2018 ◽  
Vol 51 (11) ◽  
pp. 1610-1617 ◽  
Author(s):  
Birgit Vogel-Heuser ◽  
Juliane Fischer ◽  
Eva-Maria Neumann ◽  
Sebastian Diehm
Keyword(s):  
Production Systems ◽  
Control Software ◽  
Automated Production
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