• DocumentCode
    3481388
  • Title

    A Semi-automated Decision Support Tool for Requirements Trade-Off Analysis

  • Author

    Elahi, Golnaz ; Yu, Eric

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2011
  • fDate
    18-22 July 2011
  • Firstpage
    466
  • Lastpage
    475
  • Abstract
    System designers and requirements analysts face many competing requirements, such as performance, usability, security, cost, and so forth. To make trade-offs among requirements, ideally analysts would like to quantitatively measure consequences of alternative solutions on requirements. However, during the early stages of requirements and system design, it is hard to quantitatively measure all factors and quantify stakeholders´ preferences. The Even Swaps method is a technique developed in management science to assist in multi-criteria decision making which allows the use of available but potentially incomplete quantitative and qualitative measures. It teases out the need to elicit importance weights of requirements. Instead, stakeholders are asked how much they would relax one objective to better achieve another. We apply the Even Swaps technique to requirements trade-offs, and supplement it with an algorithm that automates the decision analysis process. The algorithm fins the most distinguishable pair of alternatives and suggests the next requirements to be swapped to stakeholders.
  • Keywords
    decision support systems; systems analysis; decision analysis process; even swaps method; management science; multicriteria decision making; requirements trade-off analysis; semiautomated decision support tool; stakeholders; Algorithm design and analysis; Cameras; Feeds; Monitoring; Scalability; Security; Usability; Alternative Design Solution; Decision Analysis; Even Swaps; Requirement Trade-offs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2011 IEEE 35th Annual
  • Conference_Location
    Munich
  • ISSN
    0730-3157
  • Print_ISBN
    978-1-4577-0544-1
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2011.67
  • Filename
    6032383