Abstract
Automatically monitoring and enforcing compliance of service-based business processes with laws, regulations, standards, contracts, or policies is a hot issue in both industry and research. Little attention has however been paid to the problem of understanding non-compliance and improving business practices to prevent non-compliance in the future, a task that typically still requires human interpretation and intervention. Building upon work on automated detection of non-compliant situations, in this paper we propose a technique for the root-cause analysis of encountered problems and for the prediction of likely compliance states of running processes that leverages (i) on event-based service infrastructures, in order to collect execution evidence, and (ii) on the concept of key compliance indicator, in order to focus the analysis on the right data. We validate our ideas and algorithms on real data from an internal process of a hospital.
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Silveira, P., Rodríguez, C., Casati, F., Daniel, F., D’Andrea, V., Worledge, C., Taheri, C.: On the Design of Compliance Governance Dashboards for Effective Compliance and Audit Management. In: NFPSLAM-SOC 2009. Springer, Stockholm (2009)
Daniel, F., D’Andrea, V., Strauch, S., Schumm, D., Leymann, F., Mulo, E., Zdun, U., Dustdar, S., Sebahi, S., de Marchi, F., Hacid, M.: Business Compliance Governance in Service-Oriented Architectures. In: AINA 2009. IEEE Press, Los Alamitos (2009)
Rozinat, A., van der Aalst, W.M.P.: Decision Mining in Business Processes. BETA Working Paper Series, WP 164, Eindhoven University of Technology, Eindhoven (2006)
Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.: Business Process Intelligence. Computers in Industry Journal 53(3), 321–343 (2004)
Seol, H., Choi, J., Park, G., Park, Y.: A framework for benchmarking service process using data envelopment analysis and decision tree. ESA 32, 432–440 (2007)
Rodríguez, C., Daniel, F., Casati, F., Cappiello, C.: Toward Uncertain Business Intelligence: the Case of Key Indicators. IEEE Internet Computing 14(4) (2010)
Liu, Y., Mueller, S., Xu, K.: A Static Compliance Checking Framework for Business Process Models. IBM Systems Journal 46(2), 335–361 (2007)
Lu, R., Sadiq, S., Governatori, G.: Compliance Aware Business Process Design. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 120–131. Springer, Heidelberg (2008)
Awad, A., Weske, M.: Visualization of Compliance Violation in Business Process Models. In: BPI 2009. LNCS, vol. 43, pp. 182–193. Springer, Heidelberg (2009)
Trinh, T., Do, T., Truong, N., Nguyen, V.: Checking the Compliance of Timing Constraints in Software Applications. In: KSE 2009, pp. 220–225 (2009)
Chung, P., Cheung, L., Machin, C.: Compliance Flow - Managing the compliance of dynamic and complex processes. Knowledge-Based Systems 21(4), 332–354 (2008)
Giblin, C., Müller, S., Pfitzmann, B.: From Regulatory Policies to Event Monitoring Rules: Towards Model-Driven Compliance Automation. IBM Research Report RZ 3662 (2006)
Mulo, E., Zdun, U., Dustdar, S.: Monitoring Web Service Event Trails for Business Compliance. In: SOCA 2009. IEEE Computer Society Press, Los Alamitos (2009)
Grigori, D., Casati, F., Dayal, U., Shan, M.: Improving business process quality through exception understanding, prediction, and prevention. In: VLDB 2001, pp. 159–168 (2001)
Apte, C., Bibelnieks, E., Natarajan, R., Pednault, E., Tipu, F., Campbell, D., Nelson, B.: Segmentation-Based Modeling for Advanced Targeted Marketing. In: Knowledge Discovery in Databases and Data Mining, pp. 408–413. ACM, New York (2001)
Bibelnieks, E., Campbell, D.: Mail Stream Streamlining. Catalog Age 17(12), 118–120 (2000)
Rodríguez, C., Daniel, F., Casati, F., Cappiello, C.: Computing Uncertain Key Indicators From Uncertain Data. In: ICIQ 2009 (2009)
Bellamy, R., Erickson, T., Fuller, B., Kellogg, W., Rosenbaum, R., Thomas, J., Wolf, T.: Seeing is believing: Designing visualizations for managing risk and compliance. IBM Systems Journal 46(2), 205–218 (2007)
Chowdhary, P., Palpanas, T., Pinel, F., Chen, S., Wu, F.: Model-driven Dashboards for Business Performance Reporting. In: EDOC 2006, pp. 374–386 (2006)
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco (2006)
Tsang, S., Kao, B., Yip, K., Ho, W., Lee, S.: Decision Trees for Uncertain Data. In: ICDE 2009, pp. 441–444. IEEE, Los Alamitos (2009)
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Rodríguez, C., Silveira, P., Daniel, F., Casati, F. (2010). Analyzing Compliance of Service-Based Business Processes for Root-Cause Analysis and Prediction. In: Daniel, F., Facca, F.M. (eds) Current Trends in Web Engineering. ICWE 2010. Lecture Notes in Computer Science, vol 6385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16985-4_25
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DOI: https://doi.org/10.1007/978-3-642-16985-4_25
Publisher Name: Springer, Berlin, Heidelberg
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