Requirement analysis is a key part of systems engineering process. Analyzing requirements correctly and creating design model sequentially could be critical to the whole process of a product development. Nevertheless, requirement text handling and model transferring could be really time-consuming and error-prone. Thus, we proposed an artificial intelligence based framework to deal with textual requirement handling and model creation. With deep learning and natural language process skills, our approach could be able to analyze textual requirements automatically, and then create the related models. This would indeed alleviate the work of engineers and promote the efficiency and quality of product development process. With our limited knowledge, our paper is the first one to propose the deep learning and NLP based framework to automatically create requirement models.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Deep Learning Based Framework for Textual Requirement Analysis and Model Generation


    Beteiligte:
    Qie, Yongiun (Autor:in) / Zhu, Weijie (Autor:in) / Liu, Aishan (Autor:in) / Zhang, Yuchen (Autor:in) / Wang, Jun (Autor:in) / Li, Teng (Autor:in) / Li, Yaqing (Autor:in) / Ge, Yufei (Autor:in) / Wang, Yufeng (Autor:in)


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    316382 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Model-based requirement generation

    London, Brian / Miotto, Piero | IEEE | 2014


    Requirement Based Safety Monitor Generation and Integration

    Zhao, Y. / Rambow, T. / Nguyen, C. et al. | British Library Conference Proceedings | 2014


    Requirement Based Safety Monitor Generation and Integration

    Nguyen, Chat / Post, Kyle / Boesch, Mathew et al. | SAE Technical Papers | 2014


    IT Framework and User Requirement Analysis for Smart Airports

    Sohn, Sei-Chang / Kim, Kee-Woong / Lee, Chulung | Springer Verlag | 2012


    Machine Learning-Based Alzheimer's Disease Prediction using Textual Data

    Keerthika, S / Priyanka, S / Jayadharshini, P et al. | IEEE | 2023