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Automated Protocol Ranking
Student: Sergio Torrico, advisors: Stefan Goetz, Klaus Wehrle
In a modularized protocol framework, a large number of combinations of protocol modules may form stacks that are usable in their usage environment. However, it would be desirable to rank these alternatives against each other to determine the protocol compound which provides the highest value to the user. This core of this thesis is to develop a mechanism that allows to come to such a decision.
