Improving test process for test organization assessed with TMMi based on TPI NEXT
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, K. | - |
dc.contributor.author | Kim, R.Y.C. | - |
dc.date.accessioned | 2021-10-12T08:43:54Z | - |
dc.date.available | 2021-10-12T08:43:54Z | - |
dc.date.created | 2021-10-12 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 1738-9984 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16399 | - |
dc.description.abstract | In our previous study on a Correlative Maturity between TMMi and TPI next [1], the correlation analysis method was a mapping with KPA on the empirical practice, but was insufficient to find how to deeply relate key elements between them. To solve this problem, we analyze correlations and intention across the measure items. With the analyzed results, we propose how to improve test process for test organization assessed with TMMi based on hybrid analysis in software engineering. © 2014 SERSC. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.title | Improving test process for test organization assessed with TMMi based on TPI NEXT | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, R.Y.C. | - |
dc.identifier.doi | 10.14257/ijseia.2014.8.2.07 | - |
dc.identifier.scopusid | 2-s2.0-84896867674 | - |
dc.identifier.bibliographicCitation | International Journal of Software Engineering and its Applications, v.8, no.2, pp.59 - 66 | - |
dc.relation.isPartOf | International Journal of Software Engineering and its Applications | - |
dc.citation.title | International Journal of Software Engineering and its Applications | - |
dc.citation.volume | 8 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 59 | - |
dc.citation.endPage | 66 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Clustering etc | - |
dc.subject.keywordAuthor | Information engineering | - |
dc.subject.keywordAuthor | TMMi | - |
dc.subject.keywordAuthor | TPI next | - |
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