Abstract
The article presents results of systematic literature review about business process modeling environment based on a cloud computing. The research methodology is evolved. In this paper the research set of 3901 articles is presented and examined. The sources were used for analyses came from Scopus, Web of Science, and EBSCOhost databases. The aim of the paper is to show the impact of cloud computing environment on business process modeling based on literature review. The research subject area is limited to Computer science category in cloud computing, business process modelling, and business process management subcategories. The research date set was limited to 313 items based on chosen literature sources indexed from year 2009 to 2020. The development of cloud based models in business process modelling and management, known as BPaaS, eBPM, and BPMaaS are described. The paper shows the state-of-art of business process lifecycle management and presents some classic methods of usage in modeling tools based on BPMN notation, UML, and Petri nets notations. The research methodology uses the different methods of data gathering and searching algorithms, with computer programming. The final findings based on the research questions (RQ1–RQ6) are described and presented in tables and on figures. The conclusion with future research ideas have been shown.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abideen, A.Z., et al.: Mitigation strategies to fight the COVID-19 pandemic—present, future and beyond. J. Health Res. 34(6), 1–17 (2020)
Ajmad, A., et al.: Event-driven process chain (EPC) for modeling and verification of business requirements – a systematic literature review. IEEE Access 6, 9027–9048 (2018)
ARIS Community. https://www.ariscommunity.com/event-driven-process-chain. Accessed 15 Nov 2020
Bitkowska, A.: Zarządzanie procesowe we współczesnych organizacjach. Difin, Warsaw (2013)
Business Process as a Service: the features of a good app. Heflo blog. https://www.heflo.com/blog/bpm/business-process-as-a-service/. Accessed 10 Nov 2020
Chomiak-Orsa, I., Kołtonowska, A.: Modelowanie procesów biznesowych z wykorzystaniem sieci Petriego i BPMN. Próba oceny metod. Informatyka Ekonomiczna 2(48), 9–18 (2018)
Dennis, A., Wixom, B.H., Tegarden, D.: System Analysis & Design with UML Version 2.0. An Object-Oriented Approach, 4th edn., p. 253. Wiley, Hoboken (2012)
Drejewicz, Sz.: Zrozumieć BPMN. Modelowanie procesów biznesowych, Helion, Gliwice (2012)
Gawin, B.: Modelowanie procesów biznesowych. In: Wrycza, S., Maślankowski, J. (eds.) Informatyka Ekonomiczna. Teoria i zastosowania. Polish Scientific Publishers, Warsaw (2019)
Gawin, B., Marcinkowski, B.: Symulacja procesów biznesowych. Standardy BPMS i BPMN w praktyce, Helion, Gliwice (2013)
Gzik, T.: Procesy biznesowe w chmurze obliczeniowej, Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie No. 31 (2018)
Jelonek, D., Stępniak, C., Turek, T., Ziora, L.: Identification of mental barriers in the implementation of cloud computing in the SMEs in Poland. In: 2014 Federated Conference on Computer Science and Information Systems, Warsaw, pp. 1251–1258 (2014)
Jelonek, D., Wysłocka, E.: Barriers to the development of cloud computing adoption and usage in SMEs in Poland. Adv. Inf. Sci. Appl. 1, 128–133 (2014)
Jurek, J.: Wdrożenia informatycznych systemów zarządzania. Polish Scientific Publishers, Warsaw (2016)
Ko, R.K.L.: A computer scientist’s introductory guide to business process management (BPM). Crossroads 15(4), 11–18 (2009)
Mell, P., Grance, T.: The NIST definition of cloud computing, recommendations of the National Institute of Standards and Technology, NIST Special Publication 800-145 (2011). https://faculty.winthrop.edu/domanm/csci411/Handouts/NIST.pdf. Accessed 30 Nov 2020
Morawiec, P., Sołtysik-Piorunkiewicz, A.: The new role of cloud technologies in management information systems implementation methodology. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FTC 2020. AISC, vol. 1290, pp. 423–441. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-63092-8_29
OMG BPMN v2.0.1 Specification. https://www.omg.org/spec/BPMN/2.0.1/PDF. Accessed 13 Nov 2020
Pasamonik, P.: Modelowanie procesów biznesowych zorientowane na czynności. Zesz. Nauk. WSInf 9(2), 102–116 (2010)
Peterson, J.L.: Petri Net Theory and the Modeling of Systems. Prentice Hall, Englewood Cliffs (1981)
Rosinosky, G., Labba, C., Ferme, V., Youcef, S., Charoy, F., Pautasso, C.: Evaluating multi-tenant live migrations effects on performance. In: Panetto, H., Debruyne, C., Proper, H.A., Ardagna, C.A., Roman, D., Meersman, R. (eds.) OTM 2018. LNCS, vol. 11229, pp. 61–77. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02610-3_4
Rosinosky, G., Youcef, S., Charoy, F.: An efficient approach for multitenant elastic business processes management in cloud computing environment. In: IEEE, pp. 311–318, June 2016
Rosinosky, G., Youcef, S., Charoy, F.: A genetic algorithm for cost-aware business processes execution in the cloud. In: Pahl, C., Vukovic, M., Yin, J., Yu, Qi. (eds.) ICSOC 2018. LNCS, vol. 11236, pp. 198–212. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03596-9_13
Schulte, S., Janiesch, Ch., Venugopal, S., Weber, I., Hoenisch, P.: Elastic business process management: state of the art and open challenges for BPM in the cloud. Future Gen. Comput. Syst. 46, 36–50 (2015)
Sommerville, I.: Software Engineering, 9th edn., pp. 135–136. Addison-Wesley, Boston (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sołtysik-Piorunkiewicz, A., Morawiec, P. (2021). Cloud Based Business Process Modeling Environment – The Systematic Literature Review. In: Hong, TP., Wojtkiewicz, K., Chawuthai, R., Sitek, P. (eds) Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2021. Communications in Computer and Information Science, vol 1371. Springer, Singapore. https://doi.org/10.1007/978-981-16-1685-3_34
Download citation
DOI: https://doi.org/10.1007/978-981-16-1685-3_34
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-1684-6
Online ISBN: 978-981-16-1685-3
eBook Packages: Computer ScienceComputer Science (R0)