UScholar Works
 
Filters: Department: "School of Computing" Collection: "ir_uspace" Subject: "AspectJ"
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1 McDirmid, Sean; Eide, Eric Norman; Hsieh, Wilson C.A comparison of Jiazzi and AspectJ for feature-wise decompositionFeature-wise decomposition is an important approach to building configurable software systems. Although there has been research on the usefulness of particular tools for featurewise decomposition, there are not many informative comparisons on the relative effectiveness of different tools. In this...Jiazzi; AspectJ; Feature-wise decomposition2004-03-23
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