Statistical debugging aims to automate the process of isolating bugs by profiling several runs of the program and using statistical analysis to pinpoint the likely causes of failu...
Trishul M. Chilimbi, Ben Liblit, Krishna K. Mehra,...
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Information systems (IS) research on user involvement has primarily theorized relationships between developers, managers and users in systems development. However, so far, marginal...
Network control and management techniques (e.g., dynamic path switching, on-demand bandwidth provisioning) rely on active measurements of end-to-end network status. These measureme...
Workflow evolution is a collective term for concepts that deal with changes of workflow models. Adapted workflow models are deployed on a workflow engine as new model version. That...