Comparison: Handling Preferences with DIANE and miAamics

In this chapter we compare the DIANE and miAamics solutions to service discovery along a specific feature supported by those solutions: preferences. Although quite different in their theoretical and technical background, both techniques have in fact the ability to express user preferences, that are used internally to rank the evaluation results. These preferences are used here to incorporate functional aspects as defined by the SWS Challenge tasks, but they can also be used to express non-functional properties like quality aspects. Here we take a closer look at how preferences are realized in the two different approaches and we briefly compare their profiles.