Modelsruntime

Download Modelsruntime full books in PDF, epub, and Kindle. Read online free Modelsruntime ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

[email protected]

Models@run.time
Author :
Publisher : Springer
Total Pages : 329
Release :
ISBN-10 : 9783319089157
ISBN-13 : 3319089153
Rating : 4/5 (153 Downloads)

Book Synopsis [email protected] by : Nelly Bencomo

Download or read book [email protected] written by Nelly Bencomo and published by Springer. This book was released on 2014-07-05 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, research on model-driven engineering (MDE) has mainly focused on the use of models at the design, implementation, and verification stages of development. This work has produced relatively mature techniques and tools that are currently being used in industry and academia. However, software models also have the potential to be used at runtime, to monitor and verify particular aspects of runtime behavior, and to implement self-* capabilities (e.g., adaptation technologies used in self-healing, self-managing, self-optimizing systems). A key benefit of using models at runtime is that they can provide a richer semantic base for runtime decision-making related to runtime system concerns associated with autonomic and adaptive systems. This book is one of the outcomes of the Dagstuhl Seminar 11481 on [email protected] held in November/December 2011, discussing foundations, techniques, mechanisms, state of the art, research challenges, and applications for the use of runtime models. The book comprises four research roadmaps, written by the original participants of the Dagstuhl Seminar over the course of two years following the seminar, and seven research papers from experts in the area. The roadmap papers provide insights to key features of the use of runtime models and identify the following research challenges: the need for a reference architecture, uncertainty tackled by runtime models, mechanisms for leveraging runtime models for self-adaptive software, and the use of models at runtime to address assurance for self-adaptive systems.


[email protected] Related Books