QoS Aggregation for Web Service Composition using Workflow Patterns
EDOC '04 Proceedings of the Enterprise Distributed Object Computing Conference, Eighth IEEE International
Business process mining: An industrial application
Information Systems
Business Process Management: Concepts, Languages, Architectures
Business Process Management: Concepts, Languages, Architectures
Process-Aware Information Systems: Lessons to Be Learned from Process Mining
Transactions on Petri Nets and Other Models of Concurrency II
Analyzing the dynamic cost factors of process-aware information systems: a model-based approach
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
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Organisations are constantly seeking efficiency improvements for their business processes in terms of time and cost. Management accounting enables reporting of detailed cost of operations for decision making purpose, although significant effort is required to gather accurate operational data. Business process management is concerned with systematically documenting, managing, automating, and optimising processes. Process mining gives valuable insight into processes through analysis of events recorded by an IT system in the form of an event log with the focus on efficient utilisation of time and resources, although its primary focus is not on cost implications. In this paper, we propose a framework to support management accounting decisions on cost control by automatically incorporating cost data with historical data from event logs for monitoring, predicting and reporting process-related costs. We also illustrate how accurate, relevant and timely management accounting style cost reports can be produced on demand by extending open-source process mining framework ProM.