Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
It is argued that the analysis of the learner's generated log files during interactions with a learning environment is necessary to produce interpretative views of their activ...
In this paper we present a generic, mirror-based debugging architecture that supports runtime visibility and traceability of aspect oriented (AO) software systems. Runtime visibil...
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Problem of recovering a writing order from singlestroked handwritten image can be seen as finding the smoothest Euler path in its graph representation. In this paper, a novel appr...