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A Review of the Regression Models Applicable to Software Project Effort Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63524448" target="_blank" >RIV/70883521:28140/19:63524448 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-31362-3_39" target="_blank" >http://dx.doi.org/10.1007/978-3-030-31362-3_39</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-31362-3_39" target="_blank" >10.1007/978-3-030-31362-3_39</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Review of the Regression Models Applicable to Software Project Effort Estimation

  • Original language description

    Software Project Effort Estimation - (further only SPEE), is an essential step in a software project; related to approximating Development Effort before development is completed, and is an important software development activity. Its accuracy has a significant effect on a project´s success. The major intent of this paper is to review existing Software Project Effort Estimation – (further only SPEE), exhaustively by exploring Regression Models for modern SPEEs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing (Vol. 2)

  • ISBN

    978-3-030-31361-6

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    399-407

  • Publisher name

    Springer Nature AG

  • Place of publication

    Basel

  • Event location

    Zlín

  • Event date

    Oct 3, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article