Subjective Evaluation as a Tool for Learning from Software Project Success

Claes Wohlin, Anneliese von Mayrhauser, Martin Höst, Björn Regnell

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18 Citations (SciVal)

Abstract

This paper presents a method for using subjective factors to evaluate project success. The method is based on collection of subjective measures with respect to project characteristics and project success indicators. The paper introduces a new classification scheme for assessing software projects. Further, it is illustrated how the method may be used to predict software success using subjective measures of project characteristics. The classification scheme is illustrated in two case studies. The results are positive and encouraging for future development of the approach.
Original languageEnglish
Pages (from-to)983-992
JournalInformation and Software Technology
Volume42
Issue number14
DOIs
Publication statusPublished - 2000

Subject classification (UKÄ)

  • Computer Science

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