Software maintenance project delays prediction using Bayesian Networks

dc.creatorMELO, Ana C. V. de
dc.creatorSANCHEZ, Adilson J.
dc.date.accessioned2012-10-20T04:42:54Z
dc.date.accessioned2018-07-04T15:45:56Z
dc.date.available2012-10-20T04:42:54Z
dc.date.available2018-07-04T15:45:56Z
dc.date.created2012-10-20T04:42:54Z
dc.date.issued2008
dc.identifierEXPERT SYSTEMS WITH APPLICATIONS, v.34, n.2, p.908-919, 2008
dc.identifier0957-4174
dc.identifierhttp://producao.usp.br/handle/BDPI/30416
dc.identifier10.1016/j.eswa.2006.10.040
dc.identifierhttp://dx.doi.org/10.1016/j.eswa.2006.10.040
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1627055
dc.description.abstractManaging software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. Even when a well-established maintenance process is followed, the risk of delaying tasks remains if the new services are not precisely described or when resources change during process execution. Also, the delay of a task at an early process stage may represent a different delay at the end of the process, depending on complexity or services reliability requirements. This paper presents a knowledge-based representation (Bayesian Networks) for maintenance project delays based on specialists experience and a corresponding tool to help in managing software maintenance projects. (c) 2006 Elsevier Ltd. All rights reserved.
dc.languageeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relationExpert Systems with Applications
dc.rightsCopyright PERGAMON-ELSEVIER SCIENCE LTD
dc.rightsrestrictedAccess
dc.subjectBayesian Belief Networks
dc.subjectsoftware management
dc.subjectproject delay estimation
dc.titleSoftware maintenance project delays prediction using Bayesian Networks
dc.typeArtículos de revistas


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