Authors: Aditya Ghose, Metta Santiputri, Suman Roy
Tags: 2016, conceptual modeling
We provide a novel explicit annotation of a process model by way of accumulating effects of individual tasks specified by analysts using belief bases and computing the accumulated effect up to the point of execution of the process model in an automated manner. This technique permits the analyst to specify immediate effect annotations in a practitioner-accessible simple propositional logic formulas and generates a sequence of tasks along with cumulative effects, called effect logs. Further we propose and solve an effect mining problem, that is, given an effect log discover the process model with effect annotations of individual tasks which is close to the original annotated process model.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-319-46397-1_24
