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More accurate cost estimation for internet of things projects by adaptation of use case points methodology

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63570639" target="_blank" >RIV/70883521:28140/23:63570639 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/23:00370306

  • Result on the web

    <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10139806" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10139806</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/JIOT.2023.3281614" target="_blank" >10.1109/JIOT.2023.3281614</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    More accurate cost estimation for internet of things projects by adaptation of use case points methodology

  • Original language description

    This paper adapts the Use Case Points method to estimate the size and development effort required for the Internet of Things systems. Despite the extensive use of UCP in software engineering, it has yet to be adapted for IoT systems, which is essential for project management and resource planning. Our proposed adaptation, UCP for IoT, is based on a four-layer IoT architecture and tailors the standard software UCP to the specifications of IoT systems. It was validated using a case study of three IoT systems, demonstrating its applicability and effectiveness in estimating the development effort required for IoT projects. However, the results also highlight the need for further improvements, particularly given the absence of historical data sets for IoT projects. Our future work will focus on gathering such datasets and further refining the proposed model. Author

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Internet of Things Journal

  • ISSN

    2327-4662

  • e-ISSN

    2327-4662

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    21

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    "19312 "- 19327

  • UT code for WoS article

    001098109800079

  • EID of the result in the Scopus database

    2-s2.0-85161048992