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Analyzing correlation of the relationship between technical complexity factors and environmental complexity factors for software development effort estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63537878" target="_blank" >RIV/70883521:28140/21:63537878 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_65" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_65</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-90318-3_65" target="_blank" >10.1007/978-3-030-90318-3_65</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analyzing correlation of the relationship between technical complexity factors and environmental complexity factors for software development effort estimation

  • Original language description

    In this paper, a new method called Correlation-based Feature Selection in Correction Factors is proposed. The method is based on the feature selection method used in software development effort estimation to reduce redundant correction factors. In this paper, the impact of correlation-based feature selection on the method’s estimation accuracy is investigated. Multiple linear regression was used as the basic technique for the correction factors preprocessed by the feature selection method. The results were evaluated using six unbiased accuracy measures through the 5-fold cross-validation over the historical dataset. The proposed method leads to a significant improvement in estimation accuracy by simplifying the evaluation of correction factor values in the use case points method, thus increasing the usefulness of the proposed method in practice. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Networks and Systems

  • ISBN

    978-303090317-6

  • ISSN

    23673370

  • e-ISSN

    2367-3389

  • Number of pages

    14

  • Pages from-to

    835-848

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Berlín

  • Event location

    Vsetín

  • Event date

    Oct 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article