• DocumentCode
    124180
  • Title

    An Ontology for Guiding Performance Testing

  • Author

    Freitas, Adelaide ; Vieira, Ricardo

  • Author_Institution
    Postgrad. Program in Comput. Sci., Pontifical Catholic Univ. of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
  • Volume
    1
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    400
  • Lastpage
    407
  • Abstract
    Software test is a technique to obtain information about software systems quality. Performance test is a type of software test that aims at evaluating software performance at a given load scenario, but it requires specialized knowledge about tools, activities and metrics of the domain. Since ontology is a promising knowledge representation technique, this paper presents a literature review to identify trends and compare researches of ontologies in the fields of software testing and software performance. Also, to investigate this issue from a practical perspective, it was developed an ontology for representing the core knowledge of performance testing. This paper presents the ontology and compare it with related ones. Then, semantic technologies are explored to demonstrate the practical feasibility of developing ontology-based applications for assisting testers with performance test planning and management.
  • Keywords
    ontologies (artificial intelligence); program testing; software management; software performance evaluation; software quality; knowledge representation technique; ontology; performance test management; performance test planning; performance testing guidance; semantic technologies; software performance evaluation; software systems quality; software testing; Measurement; OWL; Ontologies; Software performance; Software testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Warsaw
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2014.62
  • Filename
    6927571