Title :
Generating Symbolic Business Processes in Support of Evaluating Process Optimization
Author :
Yuqun Zhang ; Perry, Dewayne E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Research in business process optimization is valuable in improving business process models. However, it is difficult to find real datasets of business processes to evaluate process improvement techniques and tools. In this paper, a symbolic process generator, namely G-DCBP, is introduced to stochastically generate symbolic data-centric business processes that can be used to analyze their properties and evaluate optimization approaches according to end-users´ specification.
Keywords :
business data processing; optimisation; symbol manipulation; G-DCBP; business process models; business process optimization; process optimization evaluation; symbolic business processes; symbolic data-centric business processes; symbolic process generator; Data models; Optimization; Runtime; Stochastic processes;
Conference_Titel :
Services Computing (SCC), 2015 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7280-0
DOI :
10.1109/SCC.2015.108
