INDIN 2021 will be completely a online conference: Due to ongoing restrictions at the host venue, INDIN
  2021 will be 100% a online conference. More information at our Covid-19
  page.
  
    
    
      Follow us on Twitter for realtime updates, use #INDIN2021 and mention us when you tweet
      about INDIN 2021
      conference. Please click here to follow us.
      
    
    
  TT 04 - System and software engineering, runtime intelligence
Track Chairs | 
            
|---|
| 
                 
                  
    David Hästbacka, Tampere University, Finland
    
        and 
    
    Herbert Prähofer, Linz University, Austria
    
        and 
    
    Roopak Sinha, Auckland University of Technology, New Zealand
    
                 
               | 
            
Download Call for Papers | 
              
|---|
Click here to download the track cfp.
Focus | 
              
|---|
Large and complex Industrial Automation systems have become increasingly dominated by software. We invite novel research in all phases of the system/software development lifecycle with an additional focus on runtime intelligence.
Topics under this track include (but not limited to) | 
              
|---|
- Requirements engineering-elicitation, specification, analysis, management
 - System architectures for industrial automation systems
 - Software architectures for industrial automation systems
 - Application-level or reference architectures for sub-domains like factory, building, packaging and production systems
 - Design-level concerns and strategies for industrial automation systems
 - Development of industrial software including tools, patterns and processes
 - Co-design and development of hardware/software aspects of industrial automation systems
 - Context-aware industrial automation systems-design and development
 - All paradigms for developing intelligent industrial automation systems, including machine learning/artificial intelligence, and model-based approaches
 - Testing of industrial automation systems-test-driven development, testing strategies, integration and system-level testing, early testing methods
 - Model-checking and verification techniques for industrial automation systems
 - Deployment of industrial automation systems - DevOps, configuration management, dynamic reconfiguration, fault management, diagnostics
 - Hybrid clouds and cloud-edge flexibility in industrial automation systems
 - Fog technologies in intelligent automation systems
 - Runtime monitoring and verification of industrial automation systems
 - Model-driven engineering in intelligent automation systems
 - Product lines and feature-oriented development of industrial automation systems
 
Track Committee | 
              
|---|
- Luca Berardinelli, Johannes Kepler University Linz, Austria
 - Xiuju Fu, Institute of High Performance Computing, Singapore
 - Thomas Greiner, Pforzheim University, Germany
 - David Hästbacka, Tampere University, Finland
 - Matthew Kuo, Auckland University of Technology, New Zealand
 - Paulo Leitao, Instituto Politécnico de Bragança, Portugal
 - Herbert Prähofer, Johannes Kepler University Linz, Austria
 - Filipe Moutinho, Nova University of Lisbon, Portugal
 - Rick Rabiser, Johannes Kepler University Linz, Austria
 - Jin Woo Ro, University of Bamberg, Germany
 - Roopak Sinha, Auckland University of Technology, New Zealand
 - Benjamin Tan, New York University, USA
 - Juri Vain, Tallinn University of Technology, Finland
 
