Abstract
Model-driven engineering focuses on structuring systems as well as permitting domain experts to be directly involved in the software development. Agile methods aim for fast feedback and providing crucial knowledge early in the project. In our study, we have seen a successful combination of MDE and agile methods to support the development of complex, software-driven mechatronic systems. We have investigated how combining MDE and agile methods can reduce the number of issues caused by erroneous assumptions in the software of these mechatronic systems. Our results show that plant models to simulate mechanical systems are needed to enable agile MDE during the mechatronic development. They enable developers to run, verify, and validate models before the mechanical systems are delivered from suppliers. While two case studies conducted at Volvo Car Group confirm that combining MDE and agile works, there are still challenges e.g. how to optimize the development of plant models.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Albayrak, O., Kurtoglu, H., Biaki, M.: Incomplete software requirements and assumptions made by software engineers. In: Asia-Pacific Software Engineering Conference, APSEC 2009, pp. 333–339. IEEE (December 2009)
Van der Auweraer, H., Anthonis, J., Bruyne, S.D., Leuridan, J.: Virtual engineering at work: The challenges for designing mechatronic products. Engineering with Computers 29(3), 389–408 (2013)
Berger, C.: Automating Acceptance Tests for Sensor-and Actuator-based Systems on the Example of Autonomous Vehicles. Citeseer (2010)
Berger, C., Rumpe, B.: Engineering autonomous driving software. In: Experience from the DARPA Urban Challenge, pp. 243–271. Springer (2012)
Broy, M.: Challenges in automotive software engineering. In: Proceedings of the 28th International Conference on Software Engineering, ICSE 2006, pp. 33–42. ACM, New York (2006)
Cockburn, A., Highsmith, J.: Agile software development, the people factor. Computer 34(11), 131–133 (2001)
Ebert, C., Jones, C.: Embedded software: Facts, figures, and future. IEEE Computer 42(4), 42–52 (2009)
Eliasson, U., Burden, H.: Extending agile practices in automotive MDE. In: XM 2013 Extreme Modeling Workshop, p. 11 (2013)
Fürst, S., Mössinger, J., Bunzel, S., Weber, T., Kirschke-Biller, F., Heitkämper, P., Kinkelin, G., Nishikawa, K., Lange, K.: AUTOSARA worldwide standard is on the road. In: 14th International VDI Congress Electronic Systems for Vehicles, Baden-Baden (2009)
Highsmith, J., Cockburn, A.: Agile software development: the business of innovation. Computer 34(9), 120–127 (2001)
Kulkarni, V., Barat, S., Ramteerthkar, U.: Early experience with agile methodology in a model-driven approach. In: Whittle, J., Clark, T., Kühne, T. (eds.) MODELS 2011. LNCS, vol. 6981, pp. 578–590. Springer, Heidelberg (2011)
Lago, P., van Vliet, H.: Explicit assumptions enrich architectural models. In: Proceedings of the 27th International Conference on Software Engineering, ICSE 2005, pp. 206–214. ACM, New York (2005)
Leen, G., Heffernan, D.: Expanding automotive electronic systems. Computer 35(1), 88–93 (2002)
Lewis, G., Mahatham, T., Wrage, L.: Assumptions management in software development. Software Engineering Institute (August 2004)
Mamun, M.A.A., Hansson, J.: Review and challenges of assumptions in software development. In: The Second Analytic Virtual Integration of Cyber-Physical Systems Workshop (2011)
Matinnejad, R.: Agile model driven development: An intelligent compromise. In: 2011 9th International Conference on Software Engineering Research, Management and Applications (SERA), pp. 197–202 (August 2011)
Miranskyy, A., Madhavji, N., Davison, M., Reesor, M.: Modelling assumptions and requirements in the context of project risk. In: Proceedings of the 13th IEEE International Conference on Requirements Engineering, pp. 471–472. IEEE (September 2005)
Runeson, P., Höst, M.: Guidelines for conducting and reporting case study research in software engineering. Empirical Software Engineering 14, 131–164 (2008)
Shull, F., Singer, J., Sjøberg, D.I.: Guide to advanced empirical software engineering. Springer (2008)
Tirumala, A.S.: An Assumptions Management Framework for Systems Software. Ph.D., University of Illinois at Urbana-Champaign, United States – Illinois (2006)
Uchitel, S., Yankelevich, D.: Enhancing architectural mismatch detection with assumptions. In: Seventh IEEE International Conference and Workshop on the Proceedings of the Engineering of Computer Based Systems, ECBS 2000, pp. 138–146. IEEE (2000)
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslén, A.: Experimentation in software engineering. Springer (2012)
Yin, R.K.: Case study research: Design and methods, vol. 5. Sage (2009)
Zhang, Y., Patel, S.: Agile model-driven development in practice. IEEE Software 28(2), 84–91 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Eliasson, U., Heldal, R., Lantz, J., Berger, C. (2014). Agile Model-Driven Engineering in Mechatronic Systems - An Industrial Case Study. In: Dingel, J., Schulte, W., Ramos, I., Abrahão, S., Insfran, E. (eds) Model-Driven Engineering Languages and Systems. MODELS 2014. Lecture Notes in Computer Science, vol 8767. Springer, Cham. https://doi.org/10.1007/978-3-319-11653-2_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-11653-2_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11652-5
Online ISBN: 978-3-319-11653-2
eBook Packages: Computer ScienceComputer Science (R0)