How Long to Read Model-driven engineering of adaptation engines for self-adaptive software

How Long Does it Take to Read Model-driven engineering of adaptation engines for self-adaptive software?

It takes the average reader 1 hour and 15 minutes to read Model-driven engineering of adaptation engines for self-adaptive software by Thomas Vogel

Assuming a reading speed of 250 words per minute. Learn more

Description

The development of self-adaptive software requires the engineering of an adaptation engine that controls and adapts the underlying adaptable software by means of feedback loops. The adaptation engine often describes the adaptation by using runtime models representing relevant aspects of the adaptable software and particular activities such as analysis and planning that operate on these runtime models. To systematically address the interplay between runtime models and adaptation activities in adaptation engines, runtime megamodels have been proposed for self-adaptive software. A runtime megamodel is a specific runtime model whose elements are runtime models and adaptation activities. Thus, a megamodel captures the interplay between multiple models and between models and activities as well as the activation of the activities. In this article, we go one step further and present a modeling language for ExecUtable RuntimE MegAmodels (EUREMA) that considerably eases the development of adaptation engines by following a model-driven engineering approach. We provide a domain-specific modeling language and a runtime interpreter for adaptation engines, in particular for feedback loops. Megamodels are kept explicit and alive at runtime and by interpreting them, they are directly executed to run feedback loops. Additionally, they can be dynamically adjusted to adapt feedback loops. Thus, EUREMA supports development by making feedback loops, their runtime models, and adaptation activities explicit at a higher level of abstraction. Moreover, it enables complex solutions where multiple feedback loops interact or even operate on top of each other. Finally, it leverages the co-existence of self-adaptation and off-line adaptation for evolution.

How long is Model-driven engineering of adaptation engines for self-adaptive software?

Model-driven engineering of adaptation engines for self-adaptive software by Thomas Vogel is 74 pages long, and a total of 18,796 words.

This makes it 25% the length of the average book. It also has 23% more words than the average book.

How Long Does it Take to Read Model-driven engineering of adaptation engines for self-adaptive software Aloud?

The average oral reading speed is 183 words per minute. This means it takes 1 hour and 42 minutes to read Model-driven engineering of adaptation engines for self-adaptive software aloud.

What Reading Level is Model-driven engineering of adaptation engines for self-adaptive software?

Model-driven engineering of adaptation engines for self-adaptive software is suitable for students ages 8 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

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