TY - GEN
T1 - Cross-Formalism Decomposition of Devs Coupled Models
AU - Debuhr, Neal J.
AU - Sarjoughian, Hessam S.
N1 - Funding Information:
This research was supported by a grant from the Jesse Dupont Foundation awarded to Faye Crosby and Judith Worell through the Women's College Coalition. We are deeply grateful to our funders and to the women who participated in our study. We are also grateful to Susan Basow, Campbell Leaper, Jayne Stake and two anonymous but helpful reviewers.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a cross-formalism model decomposition process such that Discrete Event System Specification (DEVS) coupled models can be automatically transformed to event graphs. We approach this process from both methodological and software implementation vantage points. A plurality of system models, from multiple modeling formalisms, may improve simulation project soft factors like collaborative model design and shared system understanding, as well as technical advantages like improved model portability. While additional research is needed to better understand the value of having multiple models, when one might otherwise suffice, well-defined and automated processes for cross-formalism modeling should facilitate the realization of this value. The choice of source and target modeling formalisms reflects the interest of the authors in investigating the role of hierarchy in these cross-formalism simulation problems and processes. Hierarchical modeling has significant overlap in technical and non-technical benefits, so it is an interesting concept to consider alongside cross-formalism modeling.
AB - This paper proposes a cross-formalism model decomposition process such that Discrete Event System Specification (DEVS) coupled models can be automatically transformed to event graphs. We approach this process from both methodological and software implementation vantage points. A plurality of system models, from multiple modeling formalisms, may improve simulation project soft factors like collaborative model design and shared system understanding, as well as technical advantages like improved model portability. While additional research is needed to better understand the value of having multiple models, when one might otherwise suffice, well-defined and automated processes for cross-formalism modeling should facilitate the realization of this value. The choice of source and target modeling formalisms reflects the interest of the authors in investigating the role of hierarchy in these cross-formalism simulation problems and processes. Hierarchical modeling has significant overlap in technical and non-technical benefits, so it is an interesting concept to consider alongside cross-formalism modeling.
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U2 - 10.1109/WSC57314.2022.10015290
DO - 10.1109/WSC57314.2022.10015290
M3 - Conference contribution
AN - SCOPUS:85147438612
T3 - Proceedings - Winter Simulation Conference
SP - 2142
EP - 2153
BT - Proceedings of the 2022 Winter Simulation Conference, WSC 2022
A2 - Feng, B.
A2 - Pedrielli, G.
A2 - Peng, Y.
A2 - Shashaani, S.
A2 - Song, E.
A2 - Corlu, C.G.
A2 - Lee, L.H.
A2 - Chew, E.P.
A2 - Roeder, T.
A2 - Lendermann, P.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Winter Simulation Conference, WSC 2022
Y2 - 11 December 2022 through 14 December 2022
ER -