• DocumentCode
    1876860
  • Title

    Taguchi Smaller-the-Best Software Quality Metrics

  • Author

    Akingbehin, Kiumi

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. of Michigan-Dearborn, Dearborn, MI, USA
  • fYear
    2009
  • fDate
    27-29 May 2009
  • Firstpage
    585
  • Lastpage
    588
  • Abstract
    Taguchi-based software metrics (numerical software measurements) define software quality in terms of "loss imparted to society" after a software product is delivered to the end user. Previous work has focused on nominal-the-best and larger-the-best loss functions for estimating the loss to society. This paper focuses on the smaller-the-best loss function for estimating the loss to society. The smaller-the-best loss function is for a property whose value should be as small as possible. It is shown that the smaller-the-best loss function can be obtained from the nominal-the-best loss function by substituting zero for t, the target value in the nominal-the-best loss function. This derivation is illustrated and a case study utilizing the derivation is presented. Taguchi-based metrics are in line with six-sigma statistical quality control techniques that have been used with software products for several years. Experiences with Taguchi-based metrics have shown good correlation with existing popularly known software quality metrics.
  • Keywords
    Taguchi methods; six sigma (quality); software metrics; software quality; Taguchi smaller-the-best software quality metrics; larger-the-best loss function; nominal-the-best loss function; six-sigma statistical quality control techniques; smaller-the-best loss function; software product; Application software; Automotive engineering; Computer crashes; Costs; Distributed computing; Performance loss; Productivity; Software engineering; Software metrics; Software quality; Metrics; Quality; Software; Taguchi;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, 2009. SNPD '09. 10th ACIS International Conference on
  • Conference_Location
    Daegu
  • Print_ISBN
    978-0-7695-3642-2
  • Type

    conf

  • DOI
    10.1109/SNPD.2009.63
  • Filename
    5286604