1 Ocak 2024 Konferans bildirisi Açık Erişim

Yalciner, Aybuke; Dikici, Ahmet; Gokalp, Ebru

JSON-LD (schema.org)

{
  "@context": "https://schema.org/", 
  "@id": 275607, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Yalciner, Aybuke"
    }, 
    {
      "@type": "Person", 
      "name": "Dikici, Ahmet"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Hacettepe Univ, Dept Comp Sci, Ankara, Turkiye", 
      "name": "Gokalp, Ebru"
    }
  ], 
  "datePublished": "2024-01-01", 
  "description": "<p>Over the past few years, emerging technologies have had a significant impact on the processes of software engineering (SE). Consequently, there has been a shift from a more experience-based approach to a data-driven decision-making approach. This shift to data-driven decision-making has resulted in more reliable and accurate decision-making, ultimately leading to more efficient and effective SE processes and a reduction in rework. Our study involved a comprehensive systematic literature review(SLR) examining the utilization of data-driven approaches in SE processes over the last decade. Our analysis of 34 primary studies revealed that data-driven approaches are most commonly utilized. After analyzing the primary studies, we found that data-driven-methods are commonly employed in SE processes for software management and software testing. Researchers are delving into subfields of artificial intelligence, including machine learning and deep learning, to devise decision-making models for SE processes that have undergone extensive validation. We aim to provide valuable insights into the usage of data-driven approaches in SE by conducting a systematic mapping based on the studies that we have found.</p>", 
  "headline": "Data-Driven Software Engineering: A Systematic Literature Review", 
  "identifier": 275607, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Data-Driven Software Engineering: A Systematic Literature Review", 
  "url": "https://aperta.ulakbim.gov.tr/record/275607"
}