Detecting missing requirements in conceptual models

Zheying Zhang, Peter Thanisch, Jyrki Nummenmaa, Jing Ma

    Research output: Contribution to journalArticleScientificpeer-review

    5 Citations (Scopus)


    Completeness of requirements has persisted as a challenge in software development projects. Particularly, in an iterative and incremental development process, only a small portion of requirements are specified before iterations start. Initial versions of the models may be developed in parallel whilst requirements elicitation is still ongoing. In this paper, we propose a metamodel approach for automating the detection of incompleteness in requirements during the conceptual modeling process. Our approach utilizes the metamodel information to allow the modeler to record explicitly each of the model's "known-unknowns", i.e. items of information which are needed to make the model complete, yet which cannot be inferred from the available requirements.

    Original languageEnglish
    Pages (from-to)248-259
    Number of pages12
    JournalCommunications in Computer and Information Science
    Issue number465
    Publication statusPublished - 2014
    Publication typeA1 Journal article-refereed


    • Known
    • Metamodel
    • Requirements
    • Unknown

    Publication forum classification

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