Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh, Indonesia

Research Article

A Profession Identification On Narrative Scenario Document

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  • @INPROCEEDINGS{10.4108/eai.18-7-2019.2288595,
        author={Reza  Fauzan and Daniel Oranova Siahaan and Nurul Fajrin Ariani},
        title={A Profession Identification On Narrative Scenario Document },
        proceedings={Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh,  Indonesia},
        publisher={EAI},
        proceedings_a={ICASI},
        year={2019},
        month={11},
        keywords={narrative scenario profession identification software engineering software requirement},
        doi={10.4108/eai.18-7-2019.2288595}
    }
    
  • Reza Fauzan
    Daniel Oranova Siahaan
    Nurul Fajrin Ariani
    Year: 2019
    A Profession Identification On Narrative Scenario Document
    ICASI
    EAI
    DOI: 10.4108/eai.18-7-2019.2288595
Reza Fauzan1,*, Daniel Oranova Siahaan2, Nurul Fajrin Ariani2
  • 1: Department of Informatics, Politeknik Negeri Banjarmasin, Banjarmasin, Indonesia
  • 2: Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
*Contact email: reza.fauzan@poliban.ac.id

Abstract

A clear determination of the profession of the stakeholders in the software requirement becomes important in order to get a good requirement. One way of identifying stakeholders is by reading a narrative scenario document. In narrative scenario documents, the system is required to read sentence patterns that can only be understood by humans while the profession of the stakeholders is in the document. Narrative scenario document as formal portrayals are not inconsequential, and it requires a solid learning of formal displaying. However, the system needs to be known all stakeholders in a software product. Stakeholders in software requirement can be represented as a profession. In this paper, we do a search for sentences that identify the profession of the stakeholders. Then we change it into sentence patterns that can be understood by the system. The results of sentence patterns that have been established indicate there is a substantial agreement with an expert.