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Algorithmic Optimization Method for Effort Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875364" target="_blank" >RIV/70883521:28140/16:43875364 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1134/S0361768816030087" target="_blank" >http://dx.doi.org/10.1134/S0361768816030087</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1134/S0361768816030087" target="_blank" >10.1134/S0361768816030087</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Algorithmic Optimization Method for Effort Estimation

  • Original language description

    This paper presents an improvement of an effort estimation method that can be used to predict the level of effort for software development projects. A new estimation approach based on a two-phase algorithm is used. In the first phase, we apply a calculation based on use case points (UCPs). In the second phase, we add correction values ( ) obtained via least squares regression. This approach employs historical project data to refine the estimate. By applying the least squares regression approach, the algorithm filters out estimation errors caused by human factors and company practice.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Programming and Computer Software

  • ISSN

    0361-7688

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    RU - RUSSIAN FEDERATION

  • Number of pages

    6

  • Pages from-to

    161-166

  • UT code for WoS article

    000376603900005

  • EID of the result in the Scopus database