Handling Instance Spanning Constraints in Compliance Management

Authors

  • Ruhul Amin Bangladesh Bank

DOI:

https://doi.org/10.18034/abcjar.v8i2.522

Keywords:

Spanning constraints, compliance management, ISC

Abstract

Instance spanning constraints refers to instruments to establish controls during multiple instances in or several processes. Many business entities crave an established ISC support system. Take, for instance, the bundling and unbundling of cargo from various logistics processes or the dependence of various examinations in medical treatment systems. During such systems, non-compliance with the ISC would lead to immense consequences and penalties, which can be fatal if it occurs in the medical field. ISC can also occur from process execution logs. Business execution store execution information for the process instance and, consequently, the characteristics of the execution logs. Discovering ISC early enough helps in supporting ISC design and execution. The purpose of this study is to contribute towards the categorization of the ISC and hence contribute to the digitalized ISC and its compliance management. 

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Author Biography

  • Ruhul Amin, Bangladesh Bank

    Senior Data Entry Control Operator (IT), ED-Maintenance Office, Bangladesh Bank (Head Office), Dhaka, BANGLADESH

References

Abrial, J.R.: Modeling in Event-B: System and Software Engineering, 1st edn. Cambridge University Press, New York (2010) DOI: https://doi.org/10.1017/CBO9781139195881

Awad, A., Weidlich, M., Weske, M.: Consistency checking of compliance rules. In: Abramowicz, W., Tolksdorf, R. (eds.) BIS 2010. LNBIP, vol. 47, pp. 106–118. Springer, Heidelberg (2010) DOI: https://doi.org/10.1007/978-3-642-12814-1_10

Boubaker, S., Gaaloul, W., Graiet, M., Hadj-Alouane, N.B.: Event-b based approach for verifying cloud resource allocation in business process. In: International Conference on Services Computing, pp. 538–545 (2015) DOI: https://doi.org/10.1109/SCC.2015.79

Donepudi, P. K. (2015). Crossing Point of Artificial Intelligence in Cybersecurity. American Journal of Trade and Policy, 2(3), 121-128. https://doi.org/10.18034/ajtp.v2i3.49 DOI: https://doi.org/10.18034/ajtp.v2i3.493

Donepudi, P. K. (2016). Influence of Cloud Computing in Business: Are They Robust?. Asian Journal of Applied Science and Engineering, 5(3), 193–196. http://doi.org/10.5281/zenodo.4110309

Donepudi, P. K. (2017). Machine Learning and Artificial Intelligence in Banking. Engineering International, 5(2), 83-86. https://doi.org/10.18034/ei.v5i2.490 DOI: https://doi.org/10.18034/ei.v5i2.490

Donepudi, P. K. (2018). AI and Machine Learning in Retail Pharmacy: Systematic Review of Related Literature. ABC Journal of Advanced Research, 7(2), 109-112. https://doi.org/10.18034/abcjar.v7i2.514 DOI: https://doi.org/10.18034/abcjar.v7i2.514

Ghose, A., Koliadis, G.: Auditing business process compliance. In: International Conference on Service-Oriented Computing, pp. 169–180 (2007) DOI: https://doi.org/10.1007/978-3-540-74974-5_14

Joshi, R., Lamport, L., Matthews, J., Tasiran, S., Tuttle, M., Yu, Y.: Checking cache-coherence protocols with TLA++ . Form. Methods Syst. Des. 22(2), 125–131 (2003) DOI: https://doi.org/10.1023/A:1022969405325

Kaes, G., RinderleMa, S., Vigne, R., Mangler, J.: Flexibility requirements in real-world process scenarios and prototypical realization in the care domain. In: OTM Workshops, pp. 55–64 (2014) DOI: https://doi.org/10.1007/978-3-662-45550-0_8

Knuplesch, D., Reichert, M., Kumar, A.: Visually monitoring multiple perspectives of business process compliance. In: International Conference on Business Process Management, pp. 263–279 (2015) DOI: https://doi.org/10.1007/978-3-319-23063-4_19

Leitner, M., Mangler, J., Rinderle-Ma, S.: Definition and enactment of instance-spanning process constraints. In: International Conference on Web Information Systems Engineering, pp. 652–658 (2012) DOI: https://doi.org/10.1007/978-3-642-35063-4_49

Lenzi, G.: The modal μμ -calculus: a survey. Task Q. 9(3), 293–316 (2005)

Maggi, F.M., Montali, M., Westergaard, M., van der Aalst, W.: Monitoring business constraints with linear temporal logic: an approach based on colored automata. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 132–147. Springer, Heidelberg (2011) DOI: https://doi.org/10.1007/978-3-642-23059-2_13

Montali, M., Maggi, F.M., Chesani, F., Mello, P., van der Aalst, W.M.P.: Monitoring business constraints with the event calculus. ACM Trans. Intell. Syst. Technol. 5(1), 1–30 (2014) DOI: https://doi.org/10.1145/2542182.2542199

Sadiq, W., Governatori, G., Namiri, K.: Modeling control objectives for business process compliance. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 149–164. Springer, Heidelberg (2007) DOI: https://doi.org/10.1007/978-3-540-75183-0_12

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Published

2019-12-31

Issue

Vol. 8 No. 2 (2019): July-December

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Articles

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How to Cite

Amin, R. . (2019). Handling Instance Spanning Constraints in Compliance Management. ABC Journal of Advanced Research, 8(2), 95-108. https://doi.org/10.18034/abcjar.v8i2.522