@article{314e6f0a5c204eada0b0834e4a9a7d34,
title = "Recursion aware modeling and discovery for hierarchical software event log analysis (extended)",
abstract = "This extended paper presents 1) a novel hierarchy and recursion extension to the process tree model; and 2) the first, recursion aware process model discovery technique that leverages hierarchical information in event logs, typically available for software systems. This technique allows us to analyze the operational processes of software systems under real-life conditions at multiple levels of granularity. The work can be positioned in-between reverse engineering and process mining. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-life (software) event logs demonstrate the feasibility and usefulness of the approach and show the huge potential to speed up discovery by exploiting the available hierarchy.",
keywords = "cs.SE, cs.LG",
author = "M. Leemans and {van der Aalst}, W.M.P. and {van den Brand}, M.G.J.",
note = "Extended version (14 pages total) of the paper Recursion Aware Modeling and Discovery For Hierarchical Software Event Log Analysis. This Technical Report version includes the guarantee proofs for the proposed discovery algorithms",
year = "2017",
month = oct,
day = "17",
language = "English",
pages = "1--14",
journal = "arXiv",
publisher = "Cornell University Library",
}