Combining classifiers in text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Component software: beyond object-oriented programming
Component software: beyond object-oriented programming
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Gravity: supporting dynamically available services in client-side applications
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
CBSE'06 Proceedings of the 9th international conference on Component-Based Software Engineering
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The demand for component and service discovery engines to use in extensible applications is surging. No one so far has devoted much effort to metrics that aid selecting among different resolvers of the same dependency. This paper defines the Reuse Frequency: a metric that relates components or services to each other and measures their relative importance. Additionally, the ComponentGraph is presented that builds the averaged dependency graph of entities augmented with their popularity and the likelihood of each possible dependency resolver. The Reuse Frequency targets all scenarios where entities have dependencies on each other and a metric for the measurement of their relative importance is needed; the target implementation environment of the ComponentGraph is the Open Service Gateway Initiative framework, but the concepts are applicable to component or service repositories in general.