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.
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