Preface to Models@run.time 2016

Sebastian Gotz*, Nelly Bencomo, Kirstie Bellman, Gordon Blair

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

Abstract

The complexity of adapting software during runtime has spawned interest in how models can be used to validate, monitor and adapt runtime behaviour. The use of models during runtime extends the use of modeling techniques beyond the design and implementation phases. The goal of this workshop is to look at issues related to developing appropriate modeldriven approaches to managing and monitoring the execution of systems and, also, to allow the system to reason about itself. We aim to continue the discussion of research ideas and proposals from researchers who work in relevant areas such as MDE, software architectures, reflection, and autonomic and self-adaptive systems, and provide a 'state-of-the-art' research assessment expressed in terms of challenges and achievements.

Original languageEnglish
Title of host publicationProceedings : 2016 IEEE International Conference on Autonomic Computing, ICAC2016
EditorsSamuel Kounev, Holger Giese, Jie Liu
PublisherIEEE
Pages363
Number of pages1
ISBN (Print)978-1-5090-1653-2
DOIs
Publication statusPublished - 21 Sep 2016
Event13th IEEE International Conference on Autonomic Computing, ICAC 2016 - Wurzburg, Germany
Duration: 18 Jul 201622 Jul 2016

Conference

Conference13th IEEE International Conference on Autonomic Computing, ICAC 2016
CountryGermany
CityWurzburg
Period18/07/1622/07/16

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    Gotz, S., Bencomo, N., Bellman, K., & Blair, G. (2016). Preface to Models@run.time 2016. In S. Kounev, H. Giese, & J. Liu (Eds.), Proceedings : 2016 IEEE International Conference on Autonomic Computing, ICAC2016 (pp. 363). IEEE. https://doi.org/10.1109/ICAC.2016.76