A Degree-Of Compling Metrical Model For Relational Data Group

碩士 === 國立交通大學 === 資訊管理研究所 === 82 ===   In recent years database applications have drawn much attention from both the academic circles and the business fields. The relational data model in particular has outstripped other models. 'The most widely used techniques for planning an ideal relational...

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Main Authors: Chen, Bor-Shuenn, 陳伯順
Other Authors: Yu, Keh-Chiang
Format: Others
Language:zh-TW
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/07522347315893994156
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spelling ndltd-TW-082NCTU33960142016-07-18T04:09:41Z http://ndltd.ncl.edu.tw/handle/07522347315893994156 A Degree-Of Compling Metrical Model For Relational Data Group 關聯式資料群耦合程度衡量模式 Chen, Bor-Shuenn 陳伯順 碩士 國立交通大學 資訊管理研究所 82   In recent years database applications have drawn much attention from both the academic circles and the business fields. The relational data model in particular has outstripped other models. 'The most widely used techniques for planning an ideal relational data base include normalization and entiey-relationship models, etc. Thus far, however, there is still a lack of design metrics for relational data bases.   This research designs an index number for the degree-of-coupling measurement of ralational data groups. Three types of data groups are identified according to their coupling structures. The formul computing the degree for coupling is proven mathermatically. The physical meaning of the degree of coupling is illustrated by examples from simple to complex. The range of good coupling is observed and tradeoffs are discussed, This index number should help database designers and manegers characterize "coupling" strength in comparable ways and decide most desirable data group. Yu, Keh-Chiang 尤克強 1994 學位論文 ; thesis 51 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 資訊管理研究所 === 82 ===   In recent years database applications have drawn much attention from both the academic circles and the business fields. The relational data model in particular has outstripped other models. 'The most widely used techniques for planning an ideal relational data base include normalization and entiey-relationship models, etc. Thus far, however, there is still a lack of design metrics for relational data bases.   This research designs an index number for the degree-of-coupling measurement of ralational data groups. Three types of data groups are identified according to their coupling structures. The formul computing the degree for coupling is proven mathermatically. The physical meaning of the degree of coupling is illustrated by examples from simple to complex. The range of good coupling is observed and tradeoffs are discussed, This index number should help database designers and manegers characterize "coupling" strength in comparable ways and decide most desirable data group.
author2 Yu, Keh-Chiang
author_facet Yu, Keh-Chiang
Chen, Bor-Shuenn
陳伯順
author Chen, Bor-Shuenn
陳伯順
spellingShingle Chen, Bor-Shuenn
陳伯順
A Degree-Of Compling Metrical Model For Relational Data Group
author_sort Chen, Bor-Shuenn
title A Degree-Of Compling Metrical Model For Relational Data Group
title_short A Degree-Of Compling Metrical Model For Relational Data Group
title_full A Degree-Of Compling Metrical Model For Relational Data Group
title_fullStr A Degree-Of Compling Metrical Model For Relational Data Group
title_full_unstemmed A Degree-Of Compling Metrical Model For Relational Data Group
title_sort degree-of compling metrical model for relational data group
publishDate 1994
url http://ndltd.ncl.edu.tw/handle/07522347315893994156
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