• DocumentCode
    1931282
  • Title

    A Scenario-Based Model to Improve the Quality of Software Inspection Process

  • Author

    Taba, Navid Hashemi ; Ow, Siew Hock

  • Author_Institution
    Dept. of Software Eng., Univ. of Malaya Kuala Lumpur, Kuala Lumpur, Malaysia
  • fYear
    2012
  • fDate
    25-27 Sept. 2012
  • Firstpage
    194
  • Lastpage
    198
  • Abstract
    Independent researches of expert groups and scientific papers show that , although some testing models and automated and manual tools are mostly used, but still some software and software projects deal with important defects that may lead to project failure. Most of software inspection models are independent of software developing process and concentrating on inspection artifacts. In this article, the proposed model is based on software developing phases adapted predefined scenarios. This inspection approach removes some possible defects in each of software development phase and avoids amplifying these defects in each of the next phases. Defect learning is the interesting point of scenario-based proposed model. Learning is a basic factor for a model to be intelligent. In this model a learning plan is created and executed through which, according to founded results, inspection process is modified and updated. The efficiency of model is evaluated through a case study.
  • Keywords
    program testing; software process improvement; software quality; defect learning; scenario-based model; software development phase; software inspection process quality; Adaptation models; Analytical models; Computational modeling; Inspection; Software; Software engineering; Training; Analysis and Design; Scenario Based Model; Software Development; Software Inspection; Software Quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
  • Conference_Location
    Kuantan
  • ISSN
    2166-8531
  • Print_ISBN
    978-1-4673-3113-5
  • Type

    conf

  • DOI
    10.1109/CIMSim.2012.59
  • Filename
    6338074