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Constructing adaptive configuration dialogs using crowd data
2014
Proceedings of the 29th ACM/IEEE international conference on Automated software engineering - ASE '14
As modern software systems grow in size and complexity so do their configuration possibilities. Users are easy to be confused and overwhelmed by the amount of choices they need to make in order to fit their systems to their exact needs. We propose a method to construct adaptive configuration elicitation dialogs through utilizing crowd wisdom. A set of configuration preferences in the form of association rules is first mined from a crowd configuration data set. Possible configuration elicitation
doi:10.1145/2642937.2642960
dblp:conf/kbse/HamidiAL14
fatcat:lnz7hwxpfbhcvcga4dekfs3zce