CALAIS is a self-directed artificial neural network which uses historic performance to weigh the relative importance of an individual component within a system ...
Using CALAIS, system architects can gain a fine grained view of the structural relevance of all system components proposed for inner sourcing and this view ...
CALAIS-A Component Analysis Learning Algorithm for Inner Source Development ... CALAIS operates by analyzing complexity, reliability, and usage. Using ...
Research by Kenny et al. (2017) offers a way of weighing the relative importance of individual components within a system architecture. ...
In this paper, Aluminium Silicon Carbide composite was developed by reinforcing aluminium metal with silicon carbide powder using stir casting method.
CALAIS-A Component Analysis Learning Algorithm for Inner Source Development · Limerick Institute of Technology, · Ericsson Systems Expertise.
Ronan Kenny, Enda Fallon , Sheila Fallon, Paul Jacob, Damian Usher: CALAIS - A Component Analysis Learning Algorithm for Inner Source Development.
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CALAIS - A Component Analysis Learning Algorithm for Inner Source Development. 2017 UKSim-AMSS 19th International Conference on Computer Modelling ...
Ronan Kenny, Enda Fallon , Sheila Fallon , Paul Jacob, Damian Usher: CALAIS - A Component Analysis Learning Algorithm for Inner Source Development.
CALAIS – a component analysis learning algorithm for inner source development. Proceedings of 19th International Conference on Computer Modelling and ...