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Behavioral Conformance of Artifact-Centric Process Models Dirk Fahland Massimiliano de Leoni Boudewijn van Dongen Wil van der Aalst TU Eindhoven
CD shop’s backend process quote1 CDa Customer 1 quote2 CDa CDb CDc Customer 2
order1 CD shop’s backend process quote1 CDa CDa q1 q2 Customer 1 order2 quote2 CDb CDc q2 q2 Customer 2
order1 CD shop’s backend process quote1 q1 q2 Customer 1 CDa order2 quote2 q2 q2 Customer 2 CDc CDa CDb
An execution – many cases What is a case here?
data of THE Online shop Each quote relates to several orders and each order contains items of several quotes
The CD shop proclet mODEL During the life of a quote, interaction takes place over this channel only once (multiplicity) Every interaction takes place with at least 1 instance of order (cardinality)
Model QualiTy? information system of the CD shop  model of the process conformance checking: can we replay the behavior of the IS on the model? if yes, then the model is good
Problem Setting Classical process modeling techniques view operational processes as “cases being executed” But what if there is no unique notion of a “case”? Artifact modeling allows for models with multiple notionsof a case Can we then still check for conformance?
Two problems to Solve data generally stored in a databasebut: conformance checkers require logsour solution: extract logs from a database behavioral information in database much (much much) larger than in classical logs conformance checking explores a search-space exponential in the number of eventsour solution: decompose problem
Problem decomposition Behavioral Conformance: Does each artifact behave according to its lifecycle?  Interaction Conformance: Does the interaction conform to the artifact specification? inside
Log Extraction The observed behavior of an artifact-centric interoperation hub is a relational database with temporal attributes representing state changes. foreign key-primary keyrelations
Behavioral Conformance extract quotelog orderlog using foreign key-primary key relations relational DBof the CD shop  replay replay proclets, including multiplicities of ports  Petri nets with reset and inhibitor arcs
Interaction Conformance quotelog orderlog extract relational DBof the CD shop  replay (BPM’11) proclet + its environment               and the ports(D. Fahland, M. de Leoni et al., Conformance Checking of Interacting Processes With Overlapping Instances, BPM 2011)
Implementation All the work is implemented in ProM and available trough    http://www.processmining.org
Conclusions When no unique notion of a “case” exists, processes can be seen as sets of interacting artifacts. Using key/foreign key relations, a database can be converted into a collection of event logs, each describing the data from the perspective of a single artifact. Both behavioral and interaction conformance checking can be done for artifact systems, using these logs and translations of the models to Petri nets (with reset and inhibitor arcs).

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Behavioral Conformance of Artifact-Centric Process Models

  • 1. Behavioral Conformance of Artifact-Centric Process Models Dirk Fahland Massimiliano de Leoni Boudewijn van Dongen Wil van der Aalst TU Eindhoven
  • 2. CD shop’s backend process quote1 CDa Customer 1 quote2 CDa CDb CDc Customer 2
  • 3. order1 CD shop’s backend process quote1 CDa CDa q1 q2 Customer 1 order2 quote2 CDb CDc q2 q2 Customer 2
  • 4. order1 CD shop’s backend process quote1 q1 q2 Customer 1 CDa order2 quote2 q2 q2 Customer 2 CDc CDa CDb
  • 5. An execution – many cases What is a case here?
  • 6. data of THE Online shop Each quote relates to several orders and each order contains items of several quotes
  • 7. The CD shop proclet mODEL During the life of a quote, interaction takes place over this channel only once (multiplicity) Every interaction takes place with at least 1 instance of order (cardinality)
  • 8. Model QualiTy? information system of the CD shop model of the process conformance checking: can we replay the behavior of the IS on the model? if yes, then the model is good
  • 9. Problem Setting Classical process modeling techniques view operational processes as “cases being executed” But what if there is no unique notion of a “case”? Artifact modeling allows for models with multiple notionsof a case Can we then still check for conformance?
  • 10. Two problems to Solve data generally stored in a databasebut: conformance checkers require logsour solution: extract logs from a database behavioral information in database much (much much) larger than in classical logs conformance checking explores a search-space exponential in the number of eventsour solution: decompose problem
  • 11. Problem decomposition Behavioral Conformance: Does each artifact behave according to its lifecycle? Interaction Conformance: Does the interaction conform to the artifact specification? inside
  • 12. Log Extraction The observed behavior of an artifact-centric interoperation hub is a relational database with temporal attributes representing state changes. foreign key-primary keyrelations
  • 13. Behavioral Conformance extract quotelog orderlog using foreign key-primary key relations relational DBof the CD shop replay replay proclets, including multiplicities of ports  Petri nets with reset and inhibitor arcs
  • 14. Interaction Conformance quotelog orderlog extract relational DBof the CD shop replay (BPM’11) proclet + its environment and the ports(D. Fahland, M. de Leoni et al., Conformance Checking of Interacting Processes With Overlapping Instances, BPM 2011)
  • 15. Implementation All the work is implemented in ProM and available trough http://www.processmining.org
  • 16. Conclusions When no unique notion of a “case” exists, processes can be seen as sets of interacting artifacts. Using key/foreign key relations, a database can be converted into a collection of event logs, each describing the data from the perspective of a single artifact. Both behavioral and interaction conformance checking can be done for artifact systems, using these logs and translations of the models to Petri nets (with reset and inhibitor arcs).

Notas del editor

  1. Proclets can be used to model artifacts, such that:The lifecycle of each artifact is modeled using a Petri net with input/output ports (a Proclet), andThe interaction between proclets is modeled using communication channels.