Abstract
Reverse engineering techniques are commonly applied for discovering the underlying business processes. These techniques often rely on event logs recorded by process-aware information systems. Apart from these, there are many non-process-aware systems without mechanisms for recording events. Certain techniques for collecting events during the execution of non-process-aware systems have been proposed to enable the discovery of business processes from this kind of systems. In these techniques the correlation of events into their execution instance constitutes a big challenge since the business process definitions supported by non-process systems are implicit. This paper presents a correlation algorithm which works together a technique for obtaining event logs from non-process-aware systems. The event correlation algorithm is applied to the events dataset collected at runtime to discover the best correlation conditions. Event logs are then built using such conditions. The applicability of the proposal is demonstrated through a case study with a real-life system.
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Pérez-Castillo, R., Weber, B., Piattini, M. (2013). Correlation of Business Activities Executed in Legacy Information Systems. In: Maciaszek, L.A., Filipe, J. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2012. Communications in Computer and Information Science, vol 410. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45422-6_4
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DOI: https://doi.org/10.1007/978-3-642-45422-6_4
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