Underspecified performance requirements can cause performance issues in a software system. However, a complete, upfront analysis of a software system is difficult, and usually not...
Chih-Wei Ho, Michael J. Johnson, Laurie Williams, ...
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...
Distributed programming and object-oriented programming are two popular programming paradigms. The former is driven by advances in networking technology whereas the latter provide...
Alan C. Y. Wong, Samuel T. Chanson, Shing-Chi Cheu...
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
Abstract: Today’s enterprise applications are based on numerous interrelated components that capture domain-specific, generic or infrastructural functionality. Each component is...
Peter Golibrzuch, Alexander Holbreich, Simon Zambr...