This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
of modelling abstractions to map from items in the real-world to objects in the computational domain is oth for the effective implementation of abstract problem solutions and for ...
Mariusz Nowostawski, Geoff Bush, Martin K. Purvis,...
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
The complexity of software in embedded systems has increased significantly over the last years so that software verification now plays an important role in ensuring the overall pr...
Recent advances in Software Defined Radio (SDR), wide band spectrum sensing, and environment aware real-time spectrum allocation [13, 10, 4] show promise of enabling the new para...
Milind M. Buddhikot, Paul Kolodzy, Scott Miller, K...