Detailed Information

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

Evaluating the relationship between process improvement and schedule deviation in software maintenance

Full metadata record
DC Field Value Language
dc.contributor.authorJung, Ho-Won-
dc.contributor.authorGoldenson, Dennis R.-
dc.date.accessioned2021-09-08T20:21:50Z-
dc.date.available2021-09-08T20:21:50Z-
dc.date.created2021-06-19-
dc.date.issued2009-02-
dc.identifier.issn0950-5849-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/120685-
dc.description.abstractA basic proposition of process assessment models is that higher process maturity is associated with improved project performance and product quality. This study provides empirical evidence to support this proposition by testing the hypothesis that higher process maturity is negatively associated with schedule deviation in software maintenance. Next, the present study investigates whether two process context factors (organizational size and geographical region) modify the relationship between process maturity and schedule deviation by using a moderator testing method. Our results show that organizational size does not influence the relationship. while geographical region is deemed to be an independent variable. (C) 2008 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.subjectMODERATED MULTIPLE-REGRESSION-
dc.subjectCAPABILITY MATURITY MODEL-
dc.subjectCOUNT DATA-
dc.subjectQUALITY-
dc.subjectPERSPECTIVE-
dc.subjectCONSISTENCY-
dc.subjectMANAGEMENT-
dc.subjectADOPTION-
dc.subjectPROGRAM-
dc.subjectSYSTEMS-
dc.titleEvaluating the relationship between process improvement and schedule deviation in software maintenance-
dc.typeArticle-
dc.contributor.affiliatedAuthorJung, Ho-Won-
dc.identifier.doi10.1016/j.infsof.2008.04.005-
dc.identifier.scopusid2-s2.0-56349089932-
dc.identifier.wosid000261919900009-
dc.identifier.bibliographicCitationINFORMATION AND SOFTWARE TECHNOLOGY, v.51, no.2, pp.351 - 361-
dc.relation.isPartOfINFORMATION AND SOFTWARE TECHNOLOGY-
dc.citation.titleINFORMATION AND SOFTWARE TECHNOLOGY-
dc.citation.volume51-
dc.citation.number2-
dc.citation.startPage351-
dc.citation.endPage361-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordPlusMODERATED MULTIPLE-REGRESSION-
dc.subject.keywordPlusCAPABILITY MATURITY MODEL-
dc.subject.keywordPlusCOUNT DATA-
dc.subject.keywordPlusQUALITY-
dc.subject.keywordPlusPERSPECTIVE-
dc.subject.keywordPlusCONSISTENCY-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusADOPTION-
dc.subject.keywordPlusPROGRAM-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordAuthorCMMI-
dc.subject.keywordAuthorMaintenance process-
dc.subject.keywordAuthorModerator-
dc.subject.keywordAuthorNegative binomial regression-
dc.subject.keywordAuthorSW-CMM-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Korea University Business School > Department of Business Administration > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE