Empirical investigation of the relationship between interaction level metric and class defects

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 93 ===  The object-oriented paradigm has become popular in recent years. In order to better evaluate and control the quality of object-oriented software system, many object-oriented design metrics proposed to model the design properties that influence software qualit...

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Main Authors: Kuo-Hua Chung, 鐘國華
Other Authors: Hewijin Christine Jiau
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/00927535675041911057
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spelling ndltd-TW-093NCKU56520582017-06-11T04:32:54Z http://ndltd.ncl.edu.tw/handle/00927535675041911057 Empirical investigation of the relationship between interaction level metric and class defects 相互影響程度量測與物件類別錯誤量關係的實務研究 Kuo-Hua Chung 鐘國華 碩士 國立成功大學 電腦與通信工程研究所 93  The object-oriented paradigm has become popular in recent years. In order to better evaluate and control the quality of object-oriented software system, many object-oriented design metrics proposed to model the design properties that influence software quality during design phase. Many new metrics have been proposed, but only a few of them have been validated. The major focus of our work is to empirically investigate the relationship between class defect count and a better existing design complexity metric, Interaction Level (IL). Several open source projects are studied to perform such investigation. In addition, we also present the relationship between design complexity metric and class defect count by using software visualization technique. The result shows this metric can be a useful reliability indicator at the class level. Hewijin Christine Jiau 焦惠津 2005 學位論文 ; thesis 49 en_US
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language en_US
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description 碩士 === 國立成功大學 === 電腦與通信工程研究所 === 93 ===  The object-oriented paradigm has become popular in recent years. In order to better evaluate and control the quality of object-oriented software system, many object-oriented design metrics proposed to model the design properties that influence software quality during design phase. Many new metrics have been proposed, but only a few of them have been validated. The major focus of our work is to empirically investigate the relationship between class defect count and a better existing design complexity metric, Interaction Level (IL). Several open source projects are studied to perform such investigation. In addition, we also present the relationship between design complexity metric and class defect count by using software visualization technique. The result shows this metric can be a useful reliability indicator at the class level.
author2 Hewijin Christine Jiau
author_facet Hewijin Christine Jiau
Kuo-Hua Chung
鐘國華
author Kuo-Hua Chung
鐘國華
spellingShingle Kuo-Hua Chung
鐘國華
Empirical investigation of the relationship between interaction level metric and class defects
author_sort Kuo-Hua Chung
title Empirical investigation of the relationship between interaction level metric and class defects
title_short Empirical investigation of the relationship between interaction level metric and class defects
title_full Empirical investigation of the relationship between interaction level metric and class defects
title_fullStr Empirical investigation of the relationship between interaction level metric and class defects
title_full_unstemmed Empirical investigation of the relationship between interaction level metric and class defects
title_sort empirical investigation of the relationship between interaction level metric and class defects
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/00927535675041911057
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