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Big data sets are full of dirty data, and these outliers, typos and missing values can produce distorted models that lead to wrong conclusions and bad decisions, be it in health care or finance. With ...
The use of model checking for validation requires that models of the underlying system be created. Creating such models is both difficult and error prone and as a result, verification is rarely used d...
Within the realm of software product line engineering, feature modeling is one of the widely used techniques for modeling commonality as well as variability. Feature models incorporate the entire doma...
Semantic Business Process Management is an emerging research area to support enterprises achieving economic and strategic objectives and improving their daily business. However, the magnitude of chang...
This paper deals with a new approach to modify software process models and their software processes. Such an approach, in contrast with existing ones, supports the different evolution strategies for t...

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