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Expanding Normalized Systems from textual domain descriptions using TEMOS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F22%3A00357970" target="_blank" >RIV/68407700:21240/22:00357970 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s10844-022-00706-8" target="_blank" >https://doi.org/10.1007/s10844-022-00706-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10844-022-00706-8" target="_blank" >10.1007/s10844-022-00706-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Expanding Normalized Systems from textual domain descriptions using TEMOS

  • Original language description

    Functional requirements on a software system are traditionally captured as text that describes the expected functionality in the domain of a real-world system. Natural language processing methods allow us to extract the knowledge from such requirements and transform it, e.g., into a model. Moreover, these methods can improve the quality of the requirements, which usually suffer from ambiguity, incompleteness, and inconsistency. This paper presents a novel approach to using natural language processing. We use the method of grammatical inspection to find specific patterns in the description of functional requirement specifications (written in English). Then, we transform the requirements into a model of Normalized Systems elements. This may realize a possible component of the eagerly awaited text-to-software pipeline. The input of this method is represented by textual requirements. Its output is a running prototype of an information system created using Normalized Systems (NS) techniques. Therefore, the system is ready to accept further enhancements, e.g., custom code fragments, in an evolvable manner ensured by compliance with the NS principles. A demonstration of pipeline implementation is also included in this paper. The text processing part of our pipeline extends the existing pipeline implemented in our system TEMOS, where we propose and implement methods of checking the quality of textual requirements concerning ambiguity, incompleteness, and inconsistency.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Intelligent Information Systems

  • ISSN

    0925-9902

  • e-ISSN

    1573-7675

  • Volume of the periodical

    59

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    24

  • Pages from-to

    391-414

  • UT code for WoS article

    000792972900001

  • EID of the result in the Scopus database

    2-s2.0-85129743891