• DocumentCode
    3589793
  • Title

    The domain knowledge-based software test model researches

  • Author

    Chunhui Yang ; Xuan Hu ; Yi Zhu ; Maosheng Huang

  • Author_Institution
    CEPREI, Software Quality Eng. Res. Center, Guangzhou, China
  • fYear
    2014
  • Firstpage
    323
  • Lastpage
    328
  • Abstract
    The typical software test models include V model, W model, H model, X model, etc. However each of them has deficiency respectively; especially adopted in complex software systems. This paper presents a brand new software test model called Y model based on W model. Moreover the most prominent characteristic of Y model is that it includes abundant domain knowledge and belongs to the domain knowledge-based software test model. Thus it is necessary to construct various knowledge ontologies of this model before the execution of existing popular software test activities. This paper takes an example of software failure mode effects analysis knowledge ontology of requirements test stage to introduce the multi-ontology framework of software failure mode effects analysis knowledge, the construction process and definition of corresponding knowledge ontology. Finally the experiment takes an example of radar system to edit the software failure mode effects analysis ontology and its instances and introduces the ontology evaluation.
  • Keywords
    failure analysis; ontologies (artificial intelligence); program testing; W model; Y model; complex software systems; domain knowledge-based software test model; multiontology framework; ontology evaluation; radar system; requirements test; software failure mode effect analysis knowledge ontology; Analytical models; Knowledge based systems; Ontologies; Production; Radar; Software; Stress; domain knowledge; ontology; software test model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6631-8
  • Type

    conf

  • DOI
    10.1109/ICRMS.2014.7107196
  • Filename
    7107196