Discovering Responsibilities with Dynamic Condition Response Graphs

TY - GEN

T1 - Discovering Responsibilities with Dynamic Condition Response Graphs

AU - Nekrasaite, Viktorija

AU - Parli, Andrew Tristan

AU - Back, Christoffer Olling

AU - Slaats, Tijs

PY - 2019/6/3

Y1 - 2019/6/3

N2 - 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.

AB - 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.

KW - Faculty of Science

KW - Declarative process discovery

KW - Declarative models

KW - Dynamic Condition Response Graphs

KW - DCR Graphs

KW - DCR Discovery

U2 - 10.1007/978-3-030-21290-2_37

DO - 10.1007/978-3-030-21290-2_37

M3 - Article in proceedings

SN - 978-3-030-21289-6

T3 - Lecture Notes in Computer Science

SP - 595

EP - 610

BT - Advanced Information Systems Engineering

A2 - Giorgini, Paolo

A2 - Weber, Barbara

PB - Springer

T2 - 31th International Conference on Advanced Information Systems Engineering (CAiSE 2019)

Y2 - 3 June 2019 through 7 June 2019

ER -