Mining Goal Refinement Patterns: Distilling Know-How from Data

摘要: Goal models play an important role by providing a hierarchic representation of stakeholder intent, and lower-level subgoals that must be achieved to enable the achievement higher-level goals. A goal model can viewed as composition number refinement patterns relate parent goals subgoals. In this paper, we offer means for mining these from enterprise event logs technique leverage vector representations words phrases compose obtain complete models. The resulting machinery quiote powerful in its ability mine know-how or constitutive norms. We empirical evaluation using both real-life synthetic datasets.