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Authors: Faiz Ul Muram 1 ; Muhammad Atif Javed 2 and Samina Kanwal 3

Affiliations: 1 School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden ; 2 RISE, Research Institutes of Sweden, Västerås, Sweden ; 3 National University of Sciences and Technology, Islamabad, Pakistan

Keyword(s): Process Engineering, Standard Documents, Natural Language Processing, Mapping Rules, Model Extraction, SPEM 2.0, EPF Composer, Compliance Management.

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 pro cess 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. (More)

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Paper citation in several formats:
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 - ENASE; ISBN 978-989-758-508-1; ISSN 2184-4895, SciTePress, pages 306-313. DOI: 10.5220/0010455903060313

@conference{enase21,
author={Faiz Ul Muram. and Muhammad Atif 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 - ENASE},
year={2021},
pages={306-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010455903060313},
isbn={978-989-758-508-1},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Facilitating the Compliance of Process Models with Critical System Engineering Standards using Natural Language Processing
SN - 978-989-758-508-1
IS - 2184-4895
AU - Muram, F.
AU - Javed, M.
AU - Kanwal, S.
PY - 2021
SP - 306
EP - 313
DO - 10.5220/0010455903060313
PB - SciTePress