Business Process Modeling and Analysis

Business process modeling and analysis is concerned with representing, discovering, and improving the structured sequences of activities that organizations use to get work done—from loan approvals to hospital admissions. A central challenge is closing the gap between how processes are designed on paper and how they actually unfold in practice, a problem addressed by techniques like workflow mining, which reconstructs process models directly from the digital traces, called event logs, that information systems leave behind, and conformance checking, which measures how closely real behavior matches those models. Researchers are also grappling with how to build processes that remain adaptable when circumstances demand deviation from standard procedures, and how to enrich process descriptions with semantic meaning so that systems can reason about what activities actually accomplish, not just their sequence. Open questions include how to reliably predict where a running process instance will go wrong before it does, and how to scale these methods to the sprawling, heterogeneous process landscapes found in large enterprises.

Works

113,379

Total citations

830,133

Keywords

Workflow MiningBusiness Process ManagementProcess ModelsEvent LogsProcess Modeling LanguagesConformance Checking