Facilitating the Compliance of Process Models with Critical System Engineering Standards using Natural Language Processing
2021 (English)In: International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings, Science and Technology Publications, Lda , 2021, p. 306-313Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Science and Technology Publications, Lda , 2021. p. 306-313
Keywords [en]
Compliance Management, EPF Composer, Mapping Rules, Model Extraction, Natural Language Processing, Process Engineering, SPEM 2.0, Standard Documents, Knowledge engineering, Mapping, Natural language processing systems, Regulatory compliance, Systems engineering, Language processing, Meta model, Natural languages, System process, System process engineering metamodel 2.0
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-62531Scopus ID: 2-s2.0-85125228014ISBN: 9789897585081 (print)OAI: oai:DiVA.org:mdh-62531DiVA, id: diva2:1761046
Conference
International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings
2023-05-312023-05-312023-05-31Bibliographically approved