Opportunity tree framework design for quality and delivery of software product
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, S.-M. | - |
dc.contributor.author | Song, K.-W. | - |
dc.date.accessioned | 2023-03-09T00:37:46Z | - |
dc.date.available | 2023-03-09T00:37:46Z | - |
dc.date.issued | 2005-09 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65489 | - |
dc.description.abstract | An organization can optimize a project and strengthen control of it and thus, accomplish its objectives by determining its project capability through the proposed models, by planning the most suitable project to its vision. The approach combines two methods. One looks at an organization's measurement framework in goal-oriented fashion and the other looks at it in vision driven. The goal-oriented method was applied to improve the quality and delivery measurement from the point of view. It identified several new metrics, and also contributed to better understanding the collected data of user requirement. The vision-driven method was used to gain new insights into the existing PCM(Performance Calculation Model) data. This paper gives the case study and its results to qualitatively compare our approach against current ad hoc practices used to improve existing Opportunity Tree frameworks(OTF). | - |
dc.format.extent | 7 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Opportunity tree framework design for quality and delivery of software product | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/11552451_184 | - |
dc.identifier.bibliographicCitation | KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, v.3682, pp 1331 - 1337 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000232722200184 | - |
dc.identifier.scopusid | 2-s2.0-33745292018 | - |
dc.citation.endPage | 1337 | - |
dc.citation.startPage | 1331 | - |
dc.citation.title | KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS | - |
dc.citation.volume | 3682 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.