Facilitating the Compliance of Process Models with Critical System Engineering Standards using Natural Language Processing

Faiz Muram, Muhammad Javed, Samina Kanwal

2021

Abstract

Compliance of process models with relevant standards is mandatory for certifying the critical systems. However, it is often carried out in a manual manner, which is complex and labour-intensive. Previous studies have not considered the automated processing of standard documents for achieving and demonstrating the process compliance. This paper leverages natural language processing for extracting the normative process models embedded in the standard documents. The mapping rules are established for structuring the standard requirements and content elements of process models, such as tasks, roles and work products. They are organized into a process structure by considering the phases, activities and milestones. During the planning phase, the standard requirements, process models and compliance mappings are generated in EPF Composer; it supports the major parts of the OMG’s Software & Systems Process Engineering Metamodel (SPEM) 2.0. The reverse compliance of extended or pre-existing process models can be carried out during the execution phase; specifically, the compliance gaps are detected, possible measures for their resolution are provided and missing elements are added after the process engineer approval. The applicability of the proposed methodology is demonstrated for the ECSS-E-ST-40C compliant space system engineering process.

Paper Citation

in Harvard Style

Muram F., Javed M. and Kanwal S. (2021). Facilitating the Compliance of Process Models with Critical System Engineering Standards using Natural Language Processing. In Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-508-1, pages 306-313. DOI: 10.5220/0010455903060313

in Bibtex Style

@conference{enase21,
author={Faiz Muram and Muhammad Javed and Samina Kanwal},
title={Facilitating the Compliance of Process Models with Critical System Engineering Standards using Natural Language Processing},
booktitle={Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2021},
pages={306-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010455903060313},
isbn={978-989-758-508-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Facilitating the Compliance of Process Models with Critical System Engineering Standards using Natural Language Processing
SN - 978-989-758-508-1
AU - Muram F.
AU - Javed M.
AU - Kanwal S.
PY - 2021
SP - 306
EP - 313
DO - 10.5220/0010455903060313