Ponencia
Computing alignments with constraint programming : the acyclic case
Autor/es | Gómez López, María Teresa
Borrego Núñez, Diana Carmona, Josep Martínez Gasca, Rafael |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2016 |
Fecha de depósito | 2019-05-14 |
Publicado en |
|
ISBN/ISSN | 1613-0073 |
Resumen | 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 ... 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. |
Identificador del proyecto | TIN2015-63502-C3-2-R
TIN2013-46181-C2-1-R |
Cita | Gómez López, M.T., Borrego Núñez, D., Carmona, J. y Martínez Gasca, R. (2016). Computing alignments with constraint programming : the acyclic case. En ATAED 2016 : International Workshop on Algorithms and Theories for the Analysis of Event Data (96-110), Torun, Poland: CEUR-WS.Org. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
paper07.pdf | 271.4Kb | [PDF] | Ver/ | |