• DocumentCode
    2976086
  • Title

    Design of enhanced software protection architecture by using theory of inventive problem solving

  • Author

    Kim, Song-Kyoo

  • Author_Institution
    Mobile Commun. Div., Samsung Electron., Gumi, South Korea
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    978
  • Lastpage
    982
  • Abstract
    This paper is dealing with the stochastic maintenance method for the software protection by using the closed queueing model with the unreliable backups. The method shows the theoretical software protection scheme in the security perspective. If software application modules are represented as backups under proposed architecture, the system can be solved by using the stochastic maintenance model with main unreliable and random auxiliary spare resources with replacement policies. In addition, the practical approach of technology enhancement in software engineering by using the technology innovation tool that is called TRIZ. The results are demonstrated in the framework of optimized software allocation problems with unreliable backups.
  • Keywords
    problem solving; queueing theory; security of data; software architecture; software maintenance; stochastic processes; closed queueing model; enhanced software protection architecture; inventive problem solving theory; random auxiliary spare resources; software allocation problems; software application modules; software engineering; software maintenance; stochastic maintenance method; technology innovation tool; Application software; Computer architecture; Problem-solving; Security; Software design; Software engineering; Software maintenance; Software protection; Stochastic processes; Stochastic systems; Security system; TIPS; TRIZ; architecture design; duality principle; stochastic optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373528
  • Filename
    5373528