• DocumentCode
    155171
  • Title

    Exploring Model-Based Repositories for a Broad Range of Industrial Applications and Challenges

  • Author

    Tao Yue ; Ali, Shady ; Descour, Arnaud ; Qitao Gan ; Liaaen, Marius ; Merkesvik, Geir Magne ; Nielsen, Boas Krogh ; Nygard, Jan ; Olafsen, Bjorn Ove ; Waal, Anne Lise

  • Author_Institution
    Simula Res. Lab., Lysaker, Norway
  • fYear
    2014
  • fDate
    2-3 Oct. 2014
  • Firstpage
    37
  • Lastpage
    46
  • Abstract
    Nowadays, systems are becoming increasingly complex and large and the process of developing such large-scale systems is becoming complicated with high cost and enormous effort required. Such a complicated process has a prominent challenge to ensure the quality of delivered artifacts. Therefore there is clearly a need to facilitate reuse of developed artifacts (e.g., requirements, architecture, tests) and enable automated analyses such as risk analyses, prioritizing test cases, change impact analysis, with the objective to reduce cost, effort and improve quality. Model-based engineering provides a promising mechanism to facilitate reuse and enable automation. The key idea is to use models as the backbone of structuring repositories that contain reusable artifacts (e.g., test cases, requirements). Such a backbone model is subse-quently used to enable various types of automation such as model-based testing and automated rule verification. In this paper, we report 12 industrial projects from five different industry domains that all require the construction of model-based repositories to enable various types of automation. We believe using models as the backbone to structure repositories for the purpose of enabling different types of automation in different contexts is a new and non-conventional model-based development research approach. This exploratory paper will serve the basis for future research to derive a generic model-based repository.
  • Keywords
    formal verification; program testing; software quality; automated rule verification; large-scale system; model-based engineering; model-based repository; model-based testing; risk analysis; Analytical models; Automation; Cancer; Optimization; Testing; Training; Unified modeling language; Analysis; Automation; Backbone Model; Generation; Model-based Repository; Model-based Repository Engineering; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality Software (QSIC), 2014 14th International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1550-6002
  • Print_ISBN
    978-1-4799-7197-8
  • Type

    conf

  • DOI
    10.1109/QSIC.2014.18
  • Filename
    6958385