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Toward a Reference Architecture for Traceability in SBVR-based Systems

    Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

    Abstract

    We present an initial reference architecture for traceability in SBVR-based systems. It facilitates rule-based development that lets end users trace interface behavior back to the human decision points that lead to it. This closes a feedback loop, which facilitates agile development. The architecture is based on Web standards to generalize comparison and implementation. It begins with the human process of linking document excerpts to the SBVR code that defines them. The next step transforms SBVR into computer code that implements it. Reasoners then form conclusions by applying the rules to data. They can also provide rudimentary explanations for these conclusions. The system then provides an end-user interface to all this rulederived information. The core challenge here is maintaining the data needed to trace back through these layers, so end-user feedback can improve the entire development proces.
    Original languageEnglish
    Title of host publicationProceedings of the Seventh International Workshop on Controlled Natural Language
    Subtitle of host publicationCNL 2020/21
    PublisherSpecial Interest Group on Controlled Natural Language
    Publication statusPublished - 8 Sept 2021
    EventSeventh International Workshop on Controlled Natural Language - Hybrid, Amsterdam, Netherlands
    Duration: 8 Sept 20219 Sept 2021
    Conference number: 7
    http://www.sigcnl.org/cnl2020.html

    Workshop

    WorkshopSeventh International Workshop on Controlled Natural Language
    Abbreviated titleCNL 2020/21
    Country/TerritoryNetherlands
    CityAmsterdam
    Period8/09/219/09/21
    Internet address

    Keywords

    • Reference architecture
    • Traceability
    • SBVR
    • Semantic Web

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