Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Atomicity and isolation for transactional processes
ACM Transactions on Database Systems (TODS)
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
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Most actual information systems save transactions in event logs. These logs are not often used to improve the quality of the process model. The area of Process Mining provides techniques and tools which allow the extraction of persistent information about the business process model from event logs in order to incorporate them in a decisional system, and optimise the future executions of the business processes. In this paper, we present an approach using (in addition of event logs) some properties of the tasks composing the business processes like minimum and maximum durations. These properties are used to improve the quality of the underlying processes by a best detection of parallelism, loops and duplicated tasks.