Compaction of Spacecraft Operational Models with Metamodeling Domain Knowledge

Kazunori Someya, Kazunori Someya, Toshiaki Aoki, Naoki Ishihama

2023

Abstract

Due to the difficulty of performing repairs during flight, spacecraft is operated according to operational scenarios tested before launch. Operational models, a type of SysML activity diagram, can be used to depict these scenarios. Although it aids in communication between engineers and stakeholders, the activity diagram can rapidly grow rather large. Due to the extensive operational model, it is therefore challenging to review the activity diagram, which could result in serious issues. Therefore, to make operational models easier to evaluate, they should be made concise. This study offers a metamodel that offers stereotypes that can succinctly characterize spacecraft operational scenarios. First, a mind map was used to depict the domain knowledge of spacecraft operations. Second, stereotype metamodel was created by extracting common knowledge from the mind map. Utilizing stereotypes, operational models’ size can be decreased; however, crucial review-related data could be lost. Therefore, shrinking stereotypes assures that crucial information would not be lost. Several trials were conducted and showed that the number of elements of operational models with stereotypes, as well as their size, reduced by almost half, compared with the original ones, allowing for a simplified review process and boosting trust in the accuracy of the operational scenarios.

Paper Citation

in Harvard Style

Someya K., Aoki T. and Ishihama N. (2023). Compaction of Spacecraft Operational Models with Metamodeling Domain Knowledge. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-647-7, SciTePress, pages 102-113. DOI: 10.5220/0011839200003464

in Bibtex Style

@conference{enase23,
author={Kazunori Someya and Toshiaki Aoki and Naoki Ishihama},
title={Compaction of Spacecraft Operational Models with Metamodeling Domain Knowledge},
booktitle={Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2023},
pages={102-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011839200003464},
isbn={978-989-758-647-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Compaction of Spacecraft Operational Models with Metamodeling Domain Knowledge
SN - 978-989-758-647-7
AU - Someya K.
AU - Aoki T.
AU - Ishihama N.
PY - 2023
SP - 102
EP - 113
DO - 10.5220/0011839200003464
PB - SciTePress