Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
A number of machine translation systems based on the learning algorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text...
We evaluate response times, in N-user collaborations, of the popular centralized (client-server) and replicated (peer-to-peer) architectures, and a hybrid architecture in which ea...
This article proposes a research agenda aimed at enabling optimized testing and analysis processes and tools to support component-based software development communities. We hypoth...