• DocumentCode
    2534990
  • Title

    Automated assessment of correctness of recommendation systems

  • Author

    Lozano, Angela ; Kellens, Andy ; Mens, Kim

  • Author_Institution
    Univ. Catholique de Louvain, Louvvain-La-Neuve, Belgium
  • fYear
    2012
  • fDate
    4-4 June 2012
  • Firstpage
    52
  • Lastpage
    53
  • Abstract
    Using a concrete example, this position paper makes a case for evaluating the correctness of software recommendation systems in an automated way, prior to conducting user studies, in order to assess the validity of the results and ideal configuration of the system to be evaluated.
  • Keywords
    recommender systems; automated assessment; software recommendation systems correctness; system configuration; user studies; Concrete; Context; Genetics; Gold; Maintenance engineering; Standards; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recommendation Systems for Software Engineering (RSSE), 2012 Third International Workshop on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4673-1758-0
  • Type

    conf

  • DOI
    10.1109/RSSE.2012.6233410
  • Filename
    6233410
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2534990