Pregled bibliografske jedinice broj: 1110456
System Dynamics Modelling with Kotlin
System Dynamics Modelling with Kotlin // System Dynamics Review, 37 (2021), 2-3; 227-240 doi:10.1002/sdr.1686 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1110456 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
System Dynamics Modelling with Kotlin
Autori
Sovilj, Siniša ; Etinger, Darko ; Sirotić, Zlatko ; Pripužić, Krešimir
Izvornik
System Dynamics Review (0883-7066) 37
(2021), 2-3;
227-240
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
system dynamics ; kotlin ; modelling ; complex system ; hierarchical model ; modularity ; simulator ;
Sažetak
System dynamics (SD) modelling is traditionally done by graphically, using mostly proprietary software or with couple of open and free software exceptions. Building large hierarchical models with reusable SD modules is not supported well and building fast and customizable simulators for interactive learning on multiple target platforms is not trivial. There are couple of framework/toolkit solutions that fulfill that gap using general-purpose languages (Java, Python, JavaScript) but they have their own limitations. We asked whether Kotlin, as a new, modern, statically-typed, null-safe, object-oriented and functional language can do any better and overcome limitations of other programming languages and frameworks/toolkits. Therefore, we started to develop Kotlin SD Toolkit which does not exist so far at our best knowledge. We found that Kotlin as a new, programming language and our Kotlin SD Toolkit as a new tool are both suitable for modelling larger, hierarchical SD models (supporting modules) and for easier development of interactive simulators for multiple target platforms: desktop, web or mobile. We also measured speed properties without any a priori code optimizations and for now Kotlin SD Toolkit on our computer needs 7 seconds to numerically integrate simple testing SD model with 1E7 time steps, which is very fast in comparison with others and can be additionally improved. We will continue to further expand capabilities of the Kotlin SD Toolkit as an open source project and our contribution to SD community.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Interdisciplinarne društvene znanosti
POVEZANOST RADA
Projekti:
HRZZ-UIP-2017-05-9066 - Učinkovita stvarnovremenska obrada brzih geoprostornih podataka (RETROFIT) (Pripužić, Krešimir, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište Jurja Dobrile u Puli
Profili:
Siniša Sovilj
(autor)
Krešimir Pripužić
(autor)
Darko Etinger
(autor)
Zlatko Sirotić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus