Abstract
The use of Business Process Management Systems (BPMSs) allows companies to manage the data that flows through process models (business instances) and to monitor all the information and actions concerning a process execution. In general, the retrieval of this information is used not only to measure whether the process works as expected but also to enable assistance in future process improvements by means of a postmortem analysis. This chapter shows how the measures extracted from the process instances can be employed to adapt business process executions according to other instances or other processes, thereby facilitating the adjustment of the process behavior at run-time to the organization needs. A language, named Process Instance Query Language (PIQL), is introduced. This language allows business users to query the process instance measures at run-time. These measures may be used both inside and outside the business processes. As a consequence, PIQL might be used in various scenarios, such as in the enrichment of the information used in Decision Model and Notation tables, in the determination of the most suitable business process to execute at run-time, and in the query of the instance measures from a dashboard. Finally, an example is introduced to demonstrate PIQL.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
del Río-Ortega, A., Resinas, M., Cabanillas, C., Cortés, A.R.: On the definition and design-time analysis of process performance indicators. Inf. Syst. 38(4), 470–490 (2013). http://doi.org/10.1016/j.is.2012.11.004
Dumas, M., García-Bañuelos, L., Polyvyanyy, A., Yang, Y., Zhang, L.: Aggregate quality of service computation for composite services. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) Service-Oriented Computing, pp. 213–227. Springer, Berlin, Heidelberg (2010)
Dumas, M., Rosa, M.L., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management. Springer Publishing Company (2013)
Gómez-López, M.T., Borrego, D., Gasca, R.M.: Data state description for the migration to activity-centric business process model maintaining legacy databases. In: BIS, pp. 86–97 (2014). http://doi.org/10.1007/978-3-319-06695-0_8
Gómez-López, M.T., Gasca, R.M., Pérez-Álvarez, J.M.: Decision-making support for the correctness of input data at runtime in business processes. Int. J. Cooperative Inf. Syst. 23(4) (2014)
González, O., Casallas, R., Deridder, D.: Monitoring and analysis concerns in workflow applications: from conceptual specifications to concrete implementations. Int. J. Cooperative Inf. Syst. 20(4), 371–404 (2011)
Maté, A., Trujillo, J., Mylopoulos, J.: Conceptualizing and specifying key performance indicators in business strategy models. In: Conceptual Modeling - 31st International Conference ER 2012, Florence, Italy, October 15–18, 2012. Proceedings, pp. 282–291 (2012)
Object Management Group: Business Process Model and Notation (BPMN) Version 2.0. OMG Standard (2011)
Object Management Group: Decision Model and Notation. Reference Manual. OMG Standard (2014)
Object Management Group: Unified Modeling Language Reference Manual, Version 2.5. OMG Standard (2015)
Polyvyanyy, A., Ouyang, C., Barros, A., van der Aalst, W.M.P.: Process querying: Enabling business intelligence through query-based process analytics. Decis. Support Syst. 100, 41–56 (2017). https://doi.org/10.1016/j.dss.2017.04.011
Weske, M.: Business Process Management: Concepts, Languages, Architectures. Springer (2012). http://doi.org/10.1007/978-3-642-28616-2
Wirth, N.: What can we do about the unnecessary diversity of notation for syntactic definitions? Commun. ACM 20(11), 822–823 (1977). http://doi.acm.org/10.1145/359863.359883
Acknowledgements
This work was funded by Junta de Andalucia (European Regional Development Fund ERD/FEDER) with the projects COPERNICA (P20_01224) and METAMORFOSIS (FEDER_US-1381375).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Álvarez, J.M.P., Díaz, A.C., Parody, L., Quintero, A.M.R., Gómez-López, M.T. (2022). Process Instance Query Language and the Process Querying Framework. In: Polyvyanyy, A. (eds) Process Querying Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-92875-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-92875-9_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-92874-2
Online ISBN: 978-3-030-92875-9
eBook Packages: Computer ScienceComputer Science (R0)