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International Conference on Evaluation of Novel Approaches to Software Engineering

ENASE 2021: Evaluation of Novel Approaches to Software Engineering pp 309–327Cite as

Ontology-Based Natural Language Processing for Process Compliance Management

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1556))

Abstract

Process compliance with relevant regulations and de-facto standards is a mandatory requirement for certifying critical systems. However, it is often carried out manually, and therefore perceived as complex and labour-intensive. Ontology-based Natural Language Processing (NLP) provides an efficient support for compliance management with critical software system engineering standards. This, however, has not been considered in the literature. Accordingly, the approach presented in this paper focuses on ontology-based NLP for compliance management of software engineering processes with standard documents. In the developed ontology, the process concerns, such as stakeholders, tasks and work products are captured for better interpretation. The rules are created for extracting and structuring information, in which both syntactic features (captured using NLP tasks) and semantic features (captured using ontology) are encoded. During the planning phase, we supported the generation of requirements, process models and compliance mappings in Eclipse Process Framework (EPF) Composer. In the context of reverse compliance, the gaps with standard documents are detected, potential measures for their resolution are provided, and adaptions are made after the process engineer approval. The applicability of the proposed approach is demonstrated by processing ECSS-E-ST-40C, a space software engineering standard, generating models and mappings, as well as reverse compliance management of extended process model.

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Notes

  1. 1.

    https://www.eclipse.org/epf/

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Acknowledgment

This work is partially supported by FiC project funded by SSF (Swedish Foundation for Strategic Research). The first author has also participated during the tenure of an ERCIM “Alain Bensoussan” Fellowship Programme.

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Authors and Affiliations

  1. RISE Research Institutes of Sweden, Västerås, Sweden

    Muhammad Atif Javed

  2. Linnaeus University, Växjö, Sweden

    Faiz Ul Muram

  3. National University of Sciences and Technology, Islamabad, Pakistan

    Samina Kanwal

Authors
  1. Muhammad Atif Javed
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  2. Faiz Ul Muram
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  3. Samina Kanwal
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Corresponding author

Correspondence to Muhammad Atif Javed .

Editor information

Editors and Affiliations

  1. Hamad bin Khalifa University, Doha, Qatar

    Raian Ali

  2. TU Wien, Vienna, Austria

    Hermann Kaindl

  3. Wrocław University of Economics, Wrocław, Poland

    Leszek A. Maciaszek

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Javed, M.A., Muram, F.U., Kanwal, S. (2022). Ontology-Based Natural Language Processing for Process Compliance Management. In: Ali, R., Kaindl, H., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2021. Communications in Computer and Information Science, vol 1556. Springer, Cham. https://doi.org/10.1007/978-3-030-96648-5_14

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  • DOI: https://doi.org/10.1007/978-3-030-96648-5_14

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