Paper Info
Title
Evaluating Adaptation Behavior of Adaptive Systems
Abstract
With the advent of new computing paradigms, such as Ubiquitous Computing, Ambient Intelligence, and Cyber Physical Systems, promising application domains like Ambient Assisted Living (AAL) and Car2Car have emerged. One key concern in these application domains is that systems are required to dynamically adapt in reaction to changes within the system or its environment. As a consequence, it is indispensable to incorporate corresponding facilities within systems, yielding adequate adaptation behavior to appropriately react on such dynamic changes. The definition of adaptation behavior is, however, a complex task in its own. In order to help engineers working on adaptive systems, we propose in this paper a generic testbed that allows specifying adaptation strategies and evaluating them in a runtime context to improve the adaptation behavior. Our approach further introduces basic visualization features as a means for the engineers to better evaluate the complex dynamic behavior resulting from runtime adaptation.
Year
DOI
Venue
2010
10.1109/ICSEA.2010.83
Software Engineering Advances
Keywords
Field
DocType
application domain,adaptive systems,promising application domain,ambient intelligence,complex dynamic behavior,complex task,adaptation behavior,runtime adaptation,dynamic change,adaptation strategy,adequate adaptation behavior,ubiquitous computing,cyber physical systems,visualization,testing,complex dynamics,adaptive behavior,artificial intelligence,adaptive system,quality assurance
Visualization,Adaptive system,Computer science,Ambient intelligence,Testbed,Human–computer interaction,Cyber-physical system,Ubiquitous computing,Program testing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4144-0
0
0.34
References 
Authors
9
5
Name
Order
Citations
PageRank
Pablo Oliveira Antonino17714.65
Marius Orfgen232.21
Daniel Schneider36611.16
Tanvir Hussain4415.88
Martin Becker549834.03