Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
We propose a unifying framework for model-based specification notations. Our framework captures the execution semantics that are common among model-based notations, and leaves the...
Some tasks vital to many mixed and augmented reality systems are either too time consuming or complex to be carried out whilst the system is active. 3D scene modelling and labelli...
It has long been accepted that requirements analysis should precede architectural design and implementation, but in software evolution and reverse engineering this concern with bl...
This paper develops a plug-and-play reusable LogGP model that can be used to predict the runtime and scaling behavior of different MPI-based pipelined wavefront applications runni...
Gihan R. Mudalige, Mary K. Vernon, Stephen A. Jarv...