Title
Assessing complexity of service-oriented computing using learning classifier systems
Abstract
The design paradigm service-orientation combines several proven design elements - such as decentralization, and scalability - with design elements from recent technology evolution, in particular abstraction and loosely coupling. However, few work has been conducted to investigate the complexity associated with service-oriented systems. This work provides an overview on complexity in SOC, outlines the challenges in assessing complexity in SOC, and proposes an experiment-based approach to assess the impact of various inherent properties on the complexity of service-oriented systems.
Year
DOI
Venue
2009
10.1145/1529282.1529760
SAC
Keywords
Field
DocType
particular abstraction,proven design element,recent technology evolution,service-oriented computing,various inherent property,assessing complexity,design element,design paradigm service-orientation,experiment-based approach,classifier system,service-oriented system,service oriented architecture,experiment,simulation,service oriented computing,complexity,learning classifier system
Design elements and principles,Technological evolution,Abstraction,Design paradigm,Software engineering,Computer science,Classifier (linguistics),Worst-case complexity,Service-oriented architecture,Scalability
Conference
Citations 
PageRank 
References 
1
0.40
2
Authors
3
Name
Order
Citations
PageRank
Lei Liu1243.47
Stefan Thanheiser2112.37
Hartmut Schmeck31034120.58