• DocumentCode
    1194181
  • Title

    How Much Software Quality Investment Is Enough: A Value-Based Approach

  • Author

    Huang, LiGuo ; Boehm, Barry

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA
  • Volume
    23
  • Issue
    5
  • fYear
    2006
  • Firstpage
    88
  • Lastpage
    95
  • Abstract
    This article draws on results from the emerging field of value-based software engineering (VBSE). VBSE aims to provide a quantitative approach to questions as how much software quality investment is enough. Based on the COCOMO II cost-estimation model and the COQUALMO quality-estimation model, quantitative risk analysis helps determine when to stop testing software and release the product. Further, we show how the model and approach can assess the relative payoff of value-based testing as compared to value-neutral testing
  • Keywords
    investment; risk analysis; software cost estimation; software quality; COCOMO II cost-estimation model; COQUALMO quality-estimation model; quantitative risk analysis; software quality investment; value-based software engineering; Application software; Books; Costs; Investments; Regression analysis; Risk analysis; Software engineering; Software quality; Software reusability; Testing; COCOMO; COQUALMO; cost-benefit analysis; software cost/schedule estimation; software quality; software risk assessment; software testing; value-based software engineering;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/MS.2006.127
  • Filename
    1687868