• DocumentCode
    2664342
  • Title

    Optimizing reliability testing with limited resources

  • Author

    Gillespie, Amanda M.

  • Author_Institution
    ASQ CRE, SAIC, McLean, VA, USA
  • fYear
    2015
  • fDate
    26-29 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the current limited budget environment, more government entities are using commercial and commercial off-the shelf (COTS) products, which may not have the resources or documentation to ensure high quality and high reliability components. It is then up to the program to determine the quality and reliability properties (estimated failure rate, consumer´s risk, environmental limitations, etc). This type of life testing can be costly and time consuming. In order to minimize the cost, the number of components required for reliability testing and the number of hours required to test must be optimized using statistical and reliability testing techniques. A step-by-step methodology using reliability testing parameters and statistical standards to optimize and define the number of components and test time required to achieve a desired confidence in reliability will be presented. This paper will discuss all aspects of a reliability and quality test plan and present the way to inform the management of those risks.
  • Keywords
    life testing; program testing; risk management; software quality; software reliability; statistical testing; COTS product; commercial off-the shelf product; documentation; government entity; life testing; limited budget environment; limited resources; optimizing reliability testing; quality test plan; reliability property; reliability testing parameter; reliability testing technique; risk management; statistical standard; statistical testing; step-by-step methodology; Inspection; Reliability engineering; Software; Standards; Stress; Testing; Life Testing; Quality; Reliability Testing; Sampling Plans;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2015 Annual
  • Conference_Location
    Palm Harbor, FL
  • Print_ISBN
    978-1-4799-6702-5
  • Type

    conf

  • DOI
    10.1109/RAMS.2015.7105112
  • Filename
    7105112