Title :
A Goal-Directed Modeling Technique towards Business Process
Author :
Yuqun Zhang ; Perry, Dewayne E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
The modeling techniques for business process are mostly graphics-based, that is argued to be simplified when the processes become too complex or expanded to provide full details. In this paper we propose a technique for modeling composite activities by including components of data, human actors and atomic activities. Furthermore, we represent business processes with composite activities using process-oriented languages. To explore the properties of the business processes under this modeling technique, we define a set of metrics that reflect the degree of data aggregation and human actor involvement of executing composite activities. Algorithms to calculate these metrics are derived based on the goal-directed nature of the modeling technique for composite activities and business processes. At last by providing a use case, we discuss the artifacts and future work for this modeling technique.
Keywords :
business data processing; atomic activities; composite activities modeling; data aggregation; goal-directed modeling technique; graphics-based business process; human actor involvement; process-oriented languages; Business; Computational modeling; Data models; Force; Measurement; Unified modeling language; business process; composite activity; goal-directed;
Conference_Titel :
Service Oriented System Engineering (SOSE), 2014 IEEE 8th International Symposium on
Conference_Location :
Oxford
DOI :
10.1109/SOSE.2014.18