Anti-Alignments in Conformance Checking – The Dark Side of Process Models - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2016

Anti-Alignments in Conformance Checking – The Dark Side of Process Models


Conformance checking techniques asses the suitability of a process model in representing an underlying process, observed through a collection of real executions. These techniques suffer from the well-known state space explosion problem, hence handling process models exhibiting large or even infinite state spaces remains a challenge. One important metric in conformance checking is to asses the precision of the model with respect to the observed executions, i.e., characterize the ability of the model to produce behavior unrelated to the one observed. By avoiding the computation of the full state space of a model, current techniques only provide estimations of the precision metric, which in some situations tend to be very optimistic, thus hiding real problems a process model may have. In this paper we present the notion of anti-alignment as a concept to help unveiling traces in the model that may deviate significantly from the observed behavior. Using anti-alignments, current estimations can be improved, e.g., in precision checking. We show how to express the problem of finding anti-alignments as the satisfiability of a Boolean formula, and provide a tool which can deal with large models efficiently.
Fichier principal
Vignette du fichier
main.pdf (774.93 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-01267015 , version 1 (03-02-2016)


  • HAL Id : hal-01267015 , version 1


Thomas Chatain, Josep Carmona. Anti-Alignments in Conformance Checking – The Dark Side of Process Models. [Research Report] LSV, ENS Cachan, CNRS, INRIA, Université Paris-Saclay, Cachan (France); Universitat Politècnica de Catalunya, Barcelona (Spain). 2016. ⟨hal-01267015⟩
165 View
123 Download


Gmail Mastodon Facebook X LinkedIn More