Discovering Responsibilities with Dynamic Condition Response Graphs

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Viktorija Nekrasaite, Andrew Tristan Parli, Christoffer Olling Back, Tijs Slaats

Declarative process discovery is the art of using historical data to better understand the responsibilities of an organisation: its governing business rules and goals. These rules and goals can be described using declarative process notations, such as Dynamic Condition Response (DCR) Graphs, which has seen widespread industrial adoption within Denmark, in particular through its integration in a case management solution used by 70% of central government institutions. In this paper, we introduce ParNek: a novel, effective, and extensible miner for the discovery of DCR Graphs. We empirically evaluate ParNek and show that it significantly outperforms the state-of-the-art in DCR discovery and performs at least comparably to the state-of-the-art in Declare discovery. Notably, the miner can be configured to sacrifice relatively little precision in favour of significant gains in simplicity, making it the first miner able to produce understandable DCR Graphs for real-life logs.
OriginalsprogEngelsk
TitelAdvanced Information Systems Engineering : 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings
RedaktørerPaolo Giorgini, Barbara Weber
Antal sider15
ForlagSpringer
Publikationsdato3 jun. 2019
Udgave31
Sider595-610
ISBN (Trykt)978-3-030-21289-6
ISBN (Elektronisk)978-3-030-21290-2
DOI
StatusUdgivet - 3 jun. 2019
Begivenhed31th International Conference on Advanced Information Systems Engineering (CAiSE 2019) - Rome, Italien
Varighed: 3 jun. 20197 jun. 2019

Konference

Konference31th International Conference on Advanced Information Systems Engineering (CAiSE 2019)
LandItalien
ByRome
Periode03/06/201907/06/2019
NavnLecture Notes in Computer Science
Vol/bind11483
ISSN0302-9743

ID: 222547291