• DocumentCode
    2123075
  • Title

    Study of Prioritization Techniques Using Students as Subjects

  • Author

    Danesh, Amir Seyed ; Ahmad, Rodina

  • Author_Institution
    Dept. of Software Eng., Univ. of Malaya, Kuala Lumpur
  • fYear
    2009
  • fDate
    3-5 April 2009
  • Firstpage
    390
  • Lastpage
    394
  • Abstract
    In many software development projects there are more candidate requirements. Most projects are also constrained by budget and time; therefore it is often difficult to implement all requirements that have been elicited for a system. For prioritization purposes, many approaches have been proposed so far to help the process. Several empirical studies have been conducted to analyze characteristics of the available approaches, but their results are often difficult to compare. In this paper, a study designed at evaluating two requirements prioritization techniques, AHP and numeral assignment technique is discussed. The study used students as subjects to prioritize requirements from an estate agency system and a library information system. Two groups of students, one from requirements engineering classroom and another group consists of research students participate in the study. The results reaffirm previous study that AHP gives more accurate and more informative result than the numeral assignment technique.
  • Keywords
    digital libraries; software quality; estate agency system; library information system; numeral assignment technique; prioritization techniques; software development projects; software quality systems; Computer science; Information analysis; Information management; Information systems; Information technology; Libraries; Programming; Software engineering; Software systems; Time factors; AHP; Prioritization techniques; Requirements engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering, 2009. ICIME '09. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3595-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2009.37
  • Filename
    5077063