Using historical data in stochastic estimation of software project duration

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aut.researcherMacDonell, Stephen Gerard
dc.contributor.authorConnor, AM
dc.contributor.authorMacDonell, S
dc.date.accessioned2011-08-06T03:59:02Z
dc.date.available2011-08-06T03:59:02Z
dc.date.copyright2006
dc.date.issued2006
dc.description.abstractThis paper presents a framework for the representation of uncertainty in the estimates used to predict the duration of software design projects. The modelling framework utilises Monte Carlo simulation to compute the propagation of uncertainty in estimates towards the total project uncertainty and therefore gives a project manager the means to make informed decisions throughout the project life. The framework also provides a mechanism for accumulating project knowledge through the use of a historical database, allowing effort estimates to be informed by, or indeed upon, the outcome of previous projects.
dc.identifier.citation19th Annual Conference of the National Advisory Committee on Computing Qualifications (NACCQ'06, Wellington, New Zealand, pages 53 - 59
dc.identifier.urihttps://hdl.handle.net/10292/1595
dc.publisherNational Advisory Committee on Computing Qualifications (NACCQ)
dc.relation.urihttp://www.naccq.ac.nz/conferences/2006/papers/53connor.pdf
dc.rights.accessrightsOpenAccess
dc.subjectSoftware project management
dc.subjectCost and effort estimation
dc.titleUsing historical data in stochastic estimation of software project duration
dc.typeConference Contribution
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing
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