Artifact lifecycle discovery

International Journal of Cooperative Information Systems

Volumn 24, Issue 1, 2015, Pages

  Popova, Viara ^a   Fahland, Dirk ^b   Dumas, Marlon ^a  

^a UNIVERSITY OF TARTU   (Estonia)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Artifact centric modeling; business process modeling; process mining

Indexed keywords

EID: 84928648499     PISSN: 02188430     EISSN: None     Source Type: Journal    
DOI: 10.1142/S021884301550001X     Document Type: Conference Paper

References (41)

1. D. Cohn and R. Hull, Business artifacts: A data-centric approach to modeling business operations and processes, IEEE Data Eng. Bull. 32(3) (2009) 3-9.
2. A. Nigam and N. S. Caswell, Business artifacts: An approach to operational specification, IBM Systems Journal 42(3) (2003) 428-445.
3. R. Hull, E. Damaggio, F. Fournier, M. Gupta, F. T. Heath, S. Hobson, M. H. Linehan, S. Maradugu, A. Nigam, P. Sukaviriya and R. Vaculin, Introducing the Guard-Stage-Milestone approach for specifying business entity lifecycles, in Proc. WS-FM2010, Volume 6551 of Lecture Notes in Computer Science (Springer, 2010), pp. 1-24.
4. R. Hull, E. Damaggio, R. D. Masellis, F. Fournier, M. Gupta, F. T. Heath, S. Hobson, M. H. Linehan, S. Maradugu, A. Nigam, P. N. Sukaviriya and R. Vaculin, Business artifacts with Guard-Stage-Milestone lifecycles: Managing artifact interactions with conditions and events, in DEBS 2011 (ACM, 2011), pp. 51-62.
5. K. R. Dittrich, S. Gatziu and A. Geppert, The active database management system manifesto: A rulebase of ADBMS features, in Rules in Database Systems, Volume 985 of Lecture Notes in Computer Science (Springer, 1995), pp. 3-20.
6. W. M. P. Van Der Aalst, Process Mining-Discovery, Conformance and Enhancement of Business Processes (Springer, 2011).
7. D. Fahland, M. de Leoni, B. F. Van Dongen and W. M. P. Van Der Aalst, Manyto-many: Some observations on interactions in artifact choreographies, in Proc. ZEUS2011. Volume 705 of CEUR Workshop Proceedings, CEUR-WS.org (2011), pp. 9-15.
8. V. Popova and M. Dumas, From Petri nets to Guard-Stage-Milestone models, in Proc. of the BPM2012 Workshops, Volume 132 of Lecture Notes in Business Information Processing (Springer, 2013).
9. T. Murata, Petri nets: Properties, analysis and applications, Proc. IEEE 77(4) (1989) 541-580.
10. W. Van Der Aalst, P. Barthelmess, C. Ellis and J. Wainer, Proclets: A framework for lightweight interacting workflow processes, Int. J. Cooperative Inf. Syst. 10(4) (2001) 443-481.
11. A. Silberschatz, H. F. Korth and S. Sudarshan, Database System Concepts, 4th edn., McGraw-Hill Book Company (2001).
12. Y. Huhtala, J. Karkkainen, P. Porkka and H. Toivonen, TANE: An efficient algorithm for discovering functional and approximate dependencies, Comput. J. 42(2) (1999) 100-111.
13. J. Bauckmann, U. Leser, F. Naumann and V. Tietz, Efficiently detecting inclusion dependencies, in Proc. ICDE2007 (IEEE, 2007), pp. 1448-1450.
14. J. Bauckmann, U. Leser and F. Naumann, Efficient and exact computation of inclusion dependencies for data integration. Technical Report 34, Hasso-Plattner-Institute for Software Systems at University of Potsdam (2010).
15. P. Feldman and D. Miller, Entity model clustering: Structuring a data model by abstraction, The Comput. J. 29(4) (1986) 348-360.
16. T. Cormen, C. Leiserson, R. Rivest and C. Stein, Introduction to Algorithms, 3rd edn. (The MIT Press, 2009).
17. J. M. E. M. Van Der Werf, B. F. Van Dongen, C. A. J. Hurkens and A. Serebrenik, Process discovery using integer linear programming, Fundam. Inform. 94(3-4) (2009) 387-412.
18. W. M. P. Van Der Aalst, T. Weijters and L. Maruster, Workflow mining: Discovering process models from event logs, IEEE Trans. Knowl. Data Eng. 16(9) (2004) 1128-1142.
19. W. M. P. Van Der Aalst, A. K. A. de Medeiros and A. J. M. M. Weijters, Genetic process mining, in Proc ICATPN 2005, Volume 3536 of Lecture Notes in Computer Science (2005), pp. 48-69.
20. J. C. A. M. Buijs, B. F. Van Dongen and W. M. P. Van Der Aalst, A genetic algorithm for discovering process trees, in IEEE Congress on Evolutionary Computation (IEEE, 2012), pp. 1-8.
21. S. J. J. Leemans, D. Fahland and W. M. P. Van Der Aalst, Discovering block-structured process models from event logs-A constructive approach, in Petri Nets, Volume 7927 of Lecture Notes in Computer Science (Springer, 2013), pp. 311-329.
22. A. K. A. de Medeiros, A. J. M. M. Weijters and W. M. P. Van Der Aalst, Genetic process mining: An experimental evaluation, Data Min. Knowl. Discov. 14(2) (2007) 245-304.
23. A. J. M. M. Weijters and W. M. P. Van Der Aalst, Rediscovering workflow models from event-based data using Little Thumb, Integr. Comput.-Aided Eng. 10(2) (2003) 151-162.
24. A. J. M. M. Weijters and J. T. S. Ribeiro, Flexible Heuristics Miner (FHM), in Proc IEEE CIDM 2011 (2011), pp. 310-317.
25. B. F. Van Dongen and A. Adriansyah, Process mining: Fuzzy clustering and performance visualization, in Proc. Business Process Management Workshops 2009, Volume 43 of Lecture Notes in Business Information Processing (Springer, 2009), pp. 158-169.
26. R. P. J. C. Bose, H. M. W. E. Verbeek and W. M. P. Van Der Aalst, Discovering hierarchical process models using ProM, in CAiSE Forum (Selected Papers), Volume 107 of Lecture Notes in Business Information Processing (Springer, 2011), pp. 33-48.
27. J. D. Weerdt, M. D. Backer, J. Vanthienen and B. Baesens, A multi-dimensional quality assessment of state-of-The-Art process discovery algorithms using real-life event logs, Inf. Syst. 37(7) (2012) 654-676.
28. A. Rozinat and W. M. P. Van Der Aalst, Conformance checking of processes based on monitoring real behavior, Inf. Syst. 33(1) (2008) 64-95.
29. D. Fahland and W. M. P. Van Der Aalst, Repairing process models to reflect reality, in Proc. BPM 2012, Volume 7481 of Lecture Notes in Computer Science (Springer, 2012), pp. 229-245.
30. D. Fahland and W. M. P. Van Der Aalst, Simplifying discovered process models in a controlled manner, Inf. Syst. 38(4) (2013) 585-605.
31. C. Ouyang, M. Dumas, S. Breutel and A. H. M. ter Hofstede, Translating standard process models to BPEL, in Proc CAiSE2006, Volume 4001 of Lecture Notes in Computer Science (2006), pp. 417-432.
32. A. Rozinat and W. M. P. Van Der Aalst, Decision mining in ProM, in Proc. BPM2006, Volume 4102 of Lecture Notes in Computer Science (Springer, 2006), pp. 420-425.
33. J. C. A. M. Buijs, B. F. Van Dongen and W. M. P. Van Der Aalst, On the role of fitness, precision, generalization and simplicity in process discovery, in OTM Conf. (1), Volume 7565 of Lecture Notes in Computer Science (Springer, 2012), pp. 305-322.
34. A. Weijters, W. Van Der Aalst and A. Alves de Medeiros, Process mining with the Heuristics Miner algorithm, Technical Report WP 166 (BETA Working Paper Series), Eindhoven University of Technology (2006).
35. S. J. Leemans, D. Fahland and W. M. Van Der Aalst, Discovering block-structured process models from non-conforming event logs, in Proc. of the BPM2013 Workshops (Springer, 2013), to appear.
36. H. M.W. Verbeek, J. C. A. M. Buijs, B. F. Van Dongen andW. M. P. Van Der Aalst, XES, XESame, and ProM 6, in CAiSE Forum, Volume 72 of Lecture Notes in Business Information Processing (Springer, 2010), pp. 60-75.
37. C. Rodriguez, R. Engel, G. Kostoska, F. Daniel, F. Casati and M. Aimar, Eventifier: Extracting process execution logs from operational databases, in BPM (Demos), Volume 940 of CEUR Workshop Proceedings, CEUR-WS.org (2012), pp. 17-22.
38. E. H. J. Nooijen, B. F. Van Dongen and D. Fahland, Automatic discovery of datacentric and artifact-centric processes, in Business Process Management Workshops, Volume 132 of Lecture Notes in Business Information Processing (Springer, 2012), pp. 316-327.
39. V. Popova, M. De Leoni, M. Dumas, D. Fahland, L. Garcia-Banuelos, B. Van Dongen, D. Boaz, D. Lembo and M. Montali, Full artifact discovery, Deliverable D3.4, ACSI Project (2013).
40. V. Popova and M. Dumas, Discovering unbounded synchronization conditions in artifact-centric process models, in Proc. of the BPM2013 Workshops, Workshop on Business Process Intelligence, Lecture Notes in Business Information Processing (Springer, 2014), pp. 28-40.
41. R. Johnson, D. Pearson and K. Pingali, The program structure tree: Computing control regions in linear time, in Proc. ACM SIGPLAN 1994 Conf. Programming Language Design and Implementation. PLDI 94 (ACM, New York, NY, USA, 1994), pp. 171-185.