On the Disruptive Effectiveness of Automated Planning for LTL f -Based Trace Alignment
Giacomo, Giuseppe De (Sapienza - Università di Roma) | Maggi, Fabrizio Maria (University of Tartu) | Marrella, Andrea (Sapienza - Università di Roma) | Patrizi, Fabio (Sapienza - Università di Roma)
One major task in business process management is that of aligning real process execution traces to a process model by (minimally) introducing and eliminating steps. Here, we look at declarative process specifications expressed in Linear Temporal Logic on finite traces (LTLf). We provide a sound and complete technique to synthesize the alignment instructions relying on finite automata theoretic manipulations. Such a technique can be effectively implemented by using planning technology. Notably, the resulting planning-based alignment system significantly outperforms all current state-of-the-art ad-hoc alignment systems. We report an in-depth experimental study that supports this claim.
Feb-14-2017