2026-04-13T15:06:17Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1030632025-07-17T04:33:11Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Borrego, Diana author Gómez López, María Teresa author Carmona Vargas, Josep author Martínez Gasca, Rafael author 2016 Conformance checking confronts process models with real process executions to detect and measure deviations between modelled and observed behaviour. The core technique for conformance checking is the computation of an alignment. Current approaches for alignment computation rely on a shortest-path technique over the product of the state-space of a model and the observed trace, thus suffering from the well-known state explosion problem. This paper presents a fresh alternative for alignment computation of acyclic process models, that encodes the alignment problem as a Constraint Satisfaction Problem. Since modern solvers for this framework are capable of dealing with large instances, this contribution has a clear potential. Remarkably, our prototype implementation can handle instances that represent a real challenge for current techniques. Main advantages of using Constraint Programming paradigm lie in the possibility to adapt parameters such as the maximum search time, or the maximum misalignment allowed. Moreover, using search and propagation algorithms incorporated in Constraint Programming Solvers permits to find solutions for problems unsolvable with other techniques. Peer Reviewed Postprint (published version) Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat Constraint programming (Computer science) Conformance checking Constraint programmin Programació per restriccions (Informàtica) Computing alignments with constraint programming : the acyclic case