Recursion aware modeling and discovery for hierarchical software event log analysis

Maikel Leemans; Wil M.P. van der Aalst; Mark G.J. van den Brand

doi:10.1109/SANER.2018.8330208

Recursion aware modeling and discovery for hierarchical software event log analysis

Maikel Leemans, Wil M.P. van der Aalst, Mark G.J. van den Brand

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

35 Citations (Scopus)

Abstract

This 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.

Original language	English
Title of host publication	25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	185-196
Number of pages	12
ISBN (Electronic)	978-1-5386-4969-5
DOIs	https://doi.org/10.1109/SANER.2018.8330208
Publication status	Published - 2 Apr 2018
Event	25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018) - Campobasso, Italy Duration: 20 Mar 2018 → 23 Mar 2018 Conference number: 25 http://saner.unimol.it/

Conference

Conference	25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018)
Abbreviated title	SANER 2018
Country/Territory	Italy
City	Campobasso
Period	20/03/18 → 23/03/18
Other	REproducibility Studies and NEgative Results (RENE) Track
Internet address	http://saner.unimol.it/

Keywords

Event Log
Hierarchical Discovery
Hierarchical Event Log
Hierarchical Modeling
Process Discovery
Process Mining
Recursion Aware Discovery
Reverse Engineering

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10.1109/SANER.2018.8330208

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Leemans, M., van der Aalst, W. M. P., & van den Brand, M. G. J. (2018). Recursion aware modeling and discovery for hierarchical software event log analysis. In 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings (pp. 185-196). Article 8330208 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SANER.2018.8330208

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abstract = "This 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 = "Event Log, Hierarchical Discovery, Hierarchical Event Log, Hierarchical Modeling, Process Discovery, Process Mining, Recursion Aware Discovery, Reverse Engineering",

author = "Maikel Leemans and \{van der Aalst\}, \{Wil M.P.\} and \{van den Brand\}, \{Mark G.J.\}",

year = "2018",

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doi = "10.1109/SANER.2018.8330208",

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booktitle = "25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

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Leemans, M, van der Aalst, WMP & van den Brand, MGJ 2018, Recursion aware modeling and discovery for hierarchical software event log analysis. in 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings., 8330208, Institute of Electrical and Electronics Engineers, Piscataway, pp. 185-196, 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy, 20/03/18. https://doi.org/10.1109/SANER.2018.8330208

Recursion aware modeling and discovery for hierarchical software event log analysis. / Leemans, Maikel; van der Aalst, Wil M.P.; van den Brand, Mark G.J.
25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2018. p. 185-196 8330208.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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KW - Hierarchical Modeling

KW - Process Discovery

KW - Process Mining

KW - Recursion Aware Discovery

KW - Reverse Engineering

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Recursion aware modeling and discovery for hierarchical software event log analysis

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Keywords

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