Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Probabilistic Graphical Framework for Predicting Software Project Risk

Full metadata record
DC Field Value Language
dc.contributor.authorAhn, Gilseung-
dc.contributor.authorKwon, Minsung-
dc.contributor.authorKang, Changwook-
dc.contributor.authorHur, Sun-
dc.date.accessioned2021-06-22T12:03:22Z-
dc.date.available2021-06-22T12:03:22Z-
dc.date.created2021-01-21-
dc.date.issued2018-03-
dc.identifier.issn1598-7248-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/6426-
dc.description.abstractProject risk management is currently one of the main topics of interest for researchers and practitioners working in the area of project management. Risk management has been designated as one of the ten subject areas of the Project Management Body of Knowledge by the Project Management Institute. Since project risk management is closely associated with other project management areas, it is important to manage project risk in detail. In this paper, we suggest a method to predict software project risk by means of probabilistic graphical model. Concretely, we identify software development process referring to ISO/IEC 12207, an international standard for software lifecycle processes and construct a probabilistic model to predict risks. The framework we suggest not only forecasts the risks, but also finds critical factors to analyze project risk.-
dc.language영어-
dc.language.isoen-
dc.publisherKOREAN INST INDUSTRIAL ENGINEERS-
dc.titleProbabilistic Graphical Framework for Predicting Software Project Risk-
dc.typeArticle-
dc.contributor.affiliatedAuthorHur, Sun-
dc.identifier.doi10.7232/iems.2018.17.1.120-
dc.identifier.scopusid2-s2.0-85045142040-
dc.identifier.wosid000429562600011-
dc.identifier.bibliographicCitationINDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, v.17, no.1, pp.120 - 127-
dc.relation.isPartOfINDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS-
dc.citation.titleINDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS-
dc.citation.volume17-
dc.citation.number1-
dc.citation.startPage120-
dc.citation.endPage127-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART002326978-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.subject.keywordPlusNEURAL-NETWORKS-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusDELPHI-
dc.subject.keywordAuthorProject Management-
dc.subject.keywordAuthorProject Risk Management-
dc.subject.keywordAuthorSoftware Project Management-
dc.subject.keywordAuthorConditional Random Field-
dc.subject.keywordAuthorRisk Prediction-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07406979-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Hur, Sun photo

Hur, Sun
ERICA 공학대학 (DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE