Assessing the industrial applicability and adoption potential of the AUKOTON model driven control application engineering approach

Challenges in software development for automation and control have increased because of various reasons, including the size of applications and competition within the industry. A potential solution could be the use of a model-driven engineering approach to facilitate the development process and design information flow. Despite the wide interests towards model-based techniques in the automation domain, the authors have not been able to find a complete, tool supported UML based MDE approach, the industrial relevance of which would have been systematically assessed. In this paper, we intend to assess the suitability and usefulness of the AUKOTON development process and tools to development of industrial automation and control applications. To study these questions, we organized a laboratory project, in which industrial professionals used our development process and tools, and used qualitative research methods for gathering the industrial feedback.

[1]  I. Seidman.  Interviewing as qualitative research : a guide for researchersin education and the social sciences , 1991 .

[2]  Roger D. Launius,et al.  The Eclipse Project , 2012 .

[3]  Heung Seok Chae,et al.  Domain-specific language approach to modelling UI architecture of mobile telephony systems , 2006, IEE Proc. Softw..

[4]  Steve Sawyer,et al.  Analysis by long walk: some approaches to the synthesis of multiple sources of evidence , 2001 .

[5]  David Hästbacka,et al.  Tool Support for the UML Automation Profile - For Domain-Specific Software Development in Manufacturing , 2008, 2008 The Third International Conference on Software Engineering Advances.

[6]  A. Zoitl,et al.  A research roadmap for model-driven design of embedded systems for automation components , 2009, 2009 7th IEEE International Conference on Industrial Informatics.

[7]  C. Sunder,et al.  Model-driven embedded systems design environment for the industrial automation sector , 2008, 2008 6th IEEE International Conference on Industrial Informatics.

[8]  Glenn J. Browne,et al.  Network effects and social dilemmas in technology industries , 2004, IEEE Software.

[9]  A. Luder,et al.  On the suitability of modeling approaches for engineering distributed control systems , 2009, 2009 7th IEEE International Conference on Industrial Informatics.

[10]  Liming Zhu,et al.  Revel8or: Model Driven Capacity Planning Tool Suite , 2007, 29th International Conference on Software Engineering (ICSE'07).

[11]  Lois W. Sayrs.  Interviews : an introduction to qualitative research interviewing , 1996 .

[12]  Eileen M. Trauth,et al.  The choice of qualitative methods in IS research , 2001 .

[13]  Christos Tranoris,et al.  A tool supported engineering process for developing control applications , 2006, Comput. Ind..

[14]  John C. Grundy,et al.  A domain-specific visual language for report writing using Microsoft DSL tools , 2009, 2009 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).

[15]  Kari Koskinen,et al.  Professional designers' adaptations of IEC 61499 to their individual work practices , 2006, 2006 IEEE Conference on Emerging Technologies and Factory Automation.

[16]  Kari Koskinen,et al.  Educational approaches for the industrial acceptance of IEC 61499 , 2007, 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007).

[17]  Luca Ferrarini,et al.  Domain specific views in model-driven embedded systems design in industrial automation , 2009, 2009 7th IEEE International Conference on Industrial Informatics.

[18]  Izak Benbasat,et al.  The Case Research Strategy in Studies of Information Systems , 1987, MIS Q..

[19]  T. Ritala,et al.  UML Automation Profile: Enhancing the Efficiency of Software Development in the Automation Industry , 2007, 2007 5th IEEE International Conference on Industrial Informatics.