Dataflow Errors Detection in Business Process Model

摘要：

Despite the abundance of analysis techniques to discover control-flow errors in workflow designs, there is hardly any support for data-flow verification. Most techniques simply abstract from data while data dependencies can be the source of all kinds of errors. This paper focuses on the discovery of data-flow errors in workflows. There are many issues in the dataflow, like Redundant Data, Lost Data, Missing Data, Mismatched data, Inconsistent data, and Misdirected data. We present an analysis approach that uses so called The RWD Boolean Table Technique expressed in steps, I Split dataflow from control flow; II Create Boolean table for each data element/s; III Make comparative between RWD Boolean table for current task and next task until get the end of workflow; Typical errors include dataflow issue, like redundant Data, lost Data and missing Data.

关键词： business process model dataflow issue activities RWD Boolean table

作者: Ahmed Elajeli Rgibi Yao Shuzhen Xu Jiajun

作者单位: School of Computer Science and Engineering, Beihang University, Beijing, China School of Software, Beihang University, Beijing, China

会议类型: 国际会议

会议名称: 2011 3nd International Conference on Mechanical and Electronics Engineering(2011年第三届机械与电子工程国际会议 ICMEE2011)

会议地点: 合肥

会议语种:英文

页码: 1765-1769

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）