id: 05898299
dt: j
an: 05898299
au: Daneva, Maya
ti: Balancing uncertainty of context in ERP project estimation: an approach and
    a case study.
so: J. Softw. Maint. Evol., Res. Pract. 22, No. 5, 329-357 (2010).
py: 2010
pu: John Wiley \& Sons, Ltd., Chichester
la: EN
cc: 
ut: enterprise resource planning implementation; portfolio management; project
    effort estimation; COCOMO; Monte Carlo simulation
ci: 
li: doi:10.1002/smr.466
ab: Summary: The increasing demand for Enterprise Resource Planning (ERP)
    solutions as well as the high rates of troubled ERP implementations and
    outright cancellations calls for developing effort estimation practices
    to systematically deal with uncertainties in ERP projects. This paper
    describes an approach — and a case study — to balancing
    uncertainties of context in the very early project stages, when an ERP
    adopter initiates a request-for-proposal process and when alternative
    bids are to be compared for the purpose of choosing an implementation
    partner. The proposed empirical approach leverages the complementary
    application of three techniques, an algorithmic estimation model, Monte
    Carlo simulation, and portfolio management. Our case study findings
    show how the ability of our approach to model uncertainty allows
    practitioners to address the challenging question of how to adjust
    project context factors so that chances of project success are
    increased. We also include a discussion on the implications of our
    approach for practice as well as on the possible validity threats and
    what the practitioner could do to counterpart them.
rv: