Supporting the recruitment of software development experts: aligning technical knowledge to an industry domain

  • Vitor de Campos UFJF
  • José Maria N. David UFJF
  • Victor Ströele UFJF
  • Regina Braga UFJF


Finding experts that meet specific technical skills, combined with expertise in an industry domain, is essential in software development environments. However, this may be a complex task once different information about software developers is scattered among diverse databases. This work aims to detect experts and assemble a list of recommended experts regarding technologies and industry domains of interest. Data from LinkedIn, GitHub, and Topcoder platforms were used to achieve this goal. Our approach matches data using semantic and syntactic techniques and infers non-obvious information through an ontology. The information regarding the recommended software developers has the potential to support decision-makers and recruiters.

Palavras-chave: expert recommendation, recommendation system, semantic model, ontology, global software development


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DE CAMPOS, Vitor; DAVID, José Maria N.; STRÖELE, Victor; BRAGA, Regina. Supporting the recruitment of software development experts: aligning technical knowledge to an industry domain. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 18. , 2023, Rio de Janeiro/RJ. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 183-192. ISSN 2326-2842. DOI: