References

• 1. 1)
     • 16. Prati, R.C., Batista, G.E.A.P.A., Monard, M.C.: ‘A survey on graphical methods for classification predictive performance evaluation’, IEEE Trans. Knowl. Data Eng., 2011, 23, (11), pp. 1601–1618.
  2. 2)
     • 39. Oberhauser, R.: ‘Towards dynamic business process management: adapting processes via cloud-based adaptation processes’. Proc. Int. Conf. Symp. On Business Modeling and Software Design, Milan, Italy, July 2015, pp. 1–22.
  3. 3)
     • 38. Patiniotakis, I., Apostolou, D., Verginadis, Y., et al: ‘Assessing flexibility in event-driven process adaptation’, Inf. Syst., 2017, 81, pp. 201–219.
  4. 4)
     • 40. Lei, J., Bai, R., Guo, L., et al: ‘Towards a scalable framework for artifact-centric business process management systems’. Proc. Int. Conf. on Web Information Systems Engineering, Shanghai, China, November 2016, pp. 309–323.
  5. 5)
     • 25. Wang, Y., Wang, Y.: ‘Change analysis for artifact-centric business processes’. Proc. Int. Conf. on Business Information Systems, Larnaca, Cyprus, May 2011, pp. 98–109.
  6. 6)
     • 24. Hull, R., Damaggio, E., Masellis, R.D.: ‘Business artifacts with guard-stage-milestone lifecycles: managing artifact interactions with conditions and events’. Proc. Int. Conf. on Distributed Event-Based System, New York, USA, July 2011, pp. 51–62.
  7. 7)
     • 8. Bhattacharya, K., Gerede, C., Hull, R., et al: ‘Towards formal analysis of artifact-centric business process models’. Proc. Int. Conf. on Business Process Management, Brisbane, Australia, September 2007, pp. 288–304.
  8. 8)
     • 11. Ngamakeur, K., Yongchareon, S., Liu, C.: ‘A framework for realizing artifact-centric business processes in service-oriented architecture’. Proc. Int. Conf. on Database Systems for Advanced Applications, Busan, South Korea, April 2012, pp. 63–78.
  9. 9)
     • 14. Rodriguez-galiano, V.F., Ghimire, B., Rogan, J., et al: ‘An assessment of the effectiveness of a random forest classifier for land-cover classification’, ISPRS J. Photogramm. Remote Sens., 2012, 67, pp. 93–104.
  10. 10)
      • 17. ‘International Workshop on Business Process Intelligence 2017’. Available at https://www.win.tue.nl/bpi/doku.php?id=2017:challenge, accessed October 2018.
  11. 11)
      • 13. Basu, S., Söderquist, F., Wallner, B.: ‘Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins’, J. Comput. Aided Mol. Des., 2017, 31, (5), pp. 453–466.
  12. 12)
      • 15. Manning, C.D., Raghavan, P., Schütze, H.: ‘Introduction to information retrieval’ (Cambridge University Press, New York, 2010).
  13. 13)
      • 29. Ayora, C., Torres, V., Weber, B., et al: ‘Enhancing modeling and change support for process families through change patterns’. Proc. Int. Conf. on Enterprise, Business-Process and Information Systems Modeling, Valencia, Spain, June 2013, pp. 246–260.
  14. 14)
      • 32. Xiu, P., Yang, J., Zhao, W.: ‘Change management of service based business processes’, Serv. Oriented Comput. Appl., 2019, 13, (1), pp. 51–66.
  15. 15)
      • 5. Jurisch, M.C., Rosenberg, Z., Krcmar, H.: ‘Emergent risks in business process change projects’, Bus. Process Manage. J., 2016, 22, (4), pp. 791–811.
  16. 16)
      • 36. Dam, H.K., Ghose, A.: ‘Mining version histories for change impact analysis in business process model repositories’, Comput. Ind., 2015, 67, pp. 72–85.
  17. 17)
      • 23. ‘About the Case Management Model and Notation Specification Version 1.1’. Available at https://www.omg.org/spec/cmmn/1.1/, accessed November 2018.
  18. 18)
      • 20. Cognini, R., Corradini, F., Gnesi, S., et al: ‘Business process flexibility: a systematic literature review with a software systems perspective’, Inf. Syst. Front., 2018, 20, (2), pp. 1–29.
  19. 19)
      • 19. ‘Tianchi’, available at https://tianchi.aliyun.com/dataset/, accessed October 2018.
  20. 20)
      • 6. Kumaran, S., Liu, R., Wu, F.Y.: ‘On the duality of information-centric and activity-centric models of business processes’. Proc. Int. Conf. on Advanced Information Systems Engineering, Montpellier, France, June 2008, pp. 32–47.
  21. 21)
      • 7. Kunchala, J., Yu, J., Yongchareon, S.: ‘A survey on approaches to modeling artifact-centric business processes’. Proc. Int. Conf. on Web Information Systems Engineering, Thessaloniki, Greece, October 2014, pp. 117–132.
  22. 22)
      • 4. Rosa, M.L., Aalst, W.M.P.V.D., Dumas, M., et al: ‘Business process variability modeling: a survey’, ACM Comput. Surv., 2013, 50, (1), pp. 1–46.
  23. 23)
      • 27. Weber, B., Reichert, M., Rinderle-Ma, S.: ‘Change patterns and change support features-enhancing flexibility in process-aware information systems’, Data Knowl. Eng., 2008, 66, (3), pp. 438–466.
  24. 24)
      • 35. Fdhila, W., Indiono, C., Rinderle-Ma, S.: ‘Dealing with change in process choreographies: design and implementation of propagation algorithms’, Inf. Syst., 2015, 49, pp. 1–24.
  25. 25)
      • 37. Nunes, V.T., Santoro, F.M., Werner, C.M.L., et al: ‘Real-time process adaptation: a context-aware replanning approach’, IEEE Trans. Syst. Man, Cybern. Syst., 2018, 48, (1), pp. 99–118.
  26. 26)
      • 18. ‘Kaggle’. Available at https://www.kaggle.com/, accessed October 2018.
  27. 27)
      • 3. Wetzstein, B.: ‘KPI-related monitoring, analysis, and adaptation of business processes’. PhD thesis, Stuttgart university, 2016.
  28. 28)
      • 28. Rinderle, S., Reichert, M., Dadam, P.: ‘Correctness criteria for dynamic changes in workflow systems-a survey’, Data Knowl. Eng., 2004, 50, (1), pp. 9–34.
  29. 29)
      • 26. Li, S., Yu, S.: ‘Research on change adaptation technology of data-centric business process models’, Intel. Comput. Appl., 2016, 6, (1), pp. 36–40.
  30. 30)
      • 9. Yongchareon, S., Liu, C., Yu, J., et al: ‘A view framework for modeling and change validation of artifact-centric inter-organizational business processes’, Inf. Syst., 2015, 47, pp. 51–81.
  31. 31)
      • 10. Zhang, J., Liu, G.: ‘The adaptation of a model of an artifact-centric business process instance and its validation’, Information, 2019, 10, (2), p. 57.
  32. 32)
      • 33. Alférez, G.H., Pelechano, V., Mazo, R., et al: ‘Dynamic adaptation of service compositions with variability models’, J. Syst. Softw., 2014, 91, pp. 24–47.
  33. 33)
      • 31. Ayora, C., Torres, V., Vara, J.L.D.L., et al: ‘Variability management in process families through change patterns’, Inf. Softw. Technol., 2016, 74, pp. 86–104.
  34. 34)
      • 21. Song, W., Jacobsen, H.A.: ‘Static and dynamic process change’, IEEE Trans. Serv. Comput., 2016, 1374, (c), pp. 1–18.
  35. 35)
      • 12. Liu, R., Bhattacharya, K., Wu, F.Y.: ‘Modeling business contexture and behavior using business artifacts’. Proc. Int. Conf. on Advanced Information Systems Engineering, Trondheim, Norway, June 2007, pp. 324–339.
  36. 36)
      • 30. Richert, M., Weber, B.: ‘Enabling flexibility in process-aware information systems: challenges, methods, technologies’ (Springer Press, Berlin, Heidelberg, 2012).
  37. 37)
      • 34. Rossi, F., Beek, P.V., Walsh, T.: ‘Handbook of constraint programming’ (Elsevier, New York, 2006).
  38. 38)
      • 1. Martins, P.V., Zacarias, M.: ‘An agile business process improvement methodology’, Procedia Comput. Sci., 2017, 121, pp. 129–136.
  39. 39)
      • 22. Eshuis, R., Hull, R., Yi, M.: ‘Property preservation in adaptive case management’. Proc. Int. Conf. on Service-Oriented Computing, Goa, India, November 2015, pp. 285–302.
  40. 40)
      • 2. Saidani, O., Nurcan, S.: ‘Business process modeling: a multi-perspective approach integrating variability’. Proc. Int. Conf. on Enterprise, Business-Process and Information Systems Modeling, Thessaloniki, Greece, June 2014, pp. 169–183.