Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such p...
Abstract: We present the live-representation approach for managing and working in complex, dynamic business processes. In this approach, aspects of business-process modeling, proje...
Daniel D. Corkill, Zachary B. Rubinstein, Susan E....
Software as a service (SaaS) is an emerging software framework in which business data and logic typically integrate with other applications. It requires a unified subscriber to des...
Liu Ying, Zhang Bin, Liu Guoqi, Wang Deshuai, Gao ...
Abstract. The use of subprocesses in large process models is an important step in modeling practice to handle complexity. While there are several advantages attributed to such a mo...
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes...