1 Ocak 2025 Dergi makalesi Açık Erişim

Unlu, Hueseyin; Yueruem, Ozan Rasit; Yildiz, Ali; Demirors, Onur

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{
  "@context": "https://schema.org/", 
  "@id": 279147, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Izmir Inst Technol, Izmir, Turkiye", 
      "name": "Unlu, Hueseyin"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Izmir Inst Technol, Izmir, Turkiye", 
      "name": "Yueruem, Ozan Rasit"
    }, 
    {
      "@type": "Person", 
      "name": "Yildiz, Ali"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Izmir Inst Technol, Izmir, Turkiye", 
      "name": "Demirors, Onur"
    }
  ], 
  "datePublished": "2025-01-01", 
  "description": "<p>MethodologyIn this research, we conducted a case study to establish a foundation for size measurement and effort estimation in DWH projects. We first applied a productivity-based estimation approach using linear regression with the ISBSG repository to assist organizations without historical data. We then evaluated various machine learning algorithms to improve estimation accuracy. Finally, we tested a combined model that integrates both approaches for estimating effort in external projects.ResultsUsing the ISBSG dataset, linear regression models based on productivity achieved a Mean Magnitude of Relative Error (MMRE) of 0.285. Machine learning algorithms improved accuracy by 22.81%, reducing the MMRE to 0.220. The final model, applied to external projects, yielded MRE values between 0.010 and 0.245.ConclusionThe ISBSG repository is a valuable resource for effort estimation in DWH projects. Combining productivity-based estimation with machine learning enhances accuracy and predictive performance, making it a more reliable approach than traditional models.</p>", 
  "headline": "Application of a Size Measurement Standard for Data Warehouse Projects", 
  "identifier": 279147, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Application of a Size Measurement Standard for Data Warehouse Projects", 
  "url": "https://aperta.ulakbim.gov.tr/record/279147"
}