Comparing Software Costing Models in Testing Phase: An Empirical Study
碩士 === 國立交通大學 === 資訊管理研究所 === 83 === Software testing is crucial to assure the quality of software systems. Cost estimation of testing is therefore very important for feasibility study and scheduling of system development. This research int...
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ndltd-TW-083NCTU03960312015-10-13T12:53:37Z http://ndltd.ncl.edu.tw/handle/03749651908917499200 Comparing Software Costing Models in Testing Phase: An Empirical Study 測試階段軟體成本模式比較實証研究 Heung, Won-Fu 洪萬富 碩士 國立交通大學 資訊管理研究所 83 Software testing is crucial to assure the quality of software systems. Cost estimation of testing is therefore very important for feasibility study and scheduling of system development. This research intends to find a convenient and improved model for estimating the cost of software testing. The research first collects 17 real projects of software testing in the last five years. Based on past theories, possible variables affecting the cost of testing are decided. Then the technique of factor analysis is used to filter out important variables that are independent of each other. Finally, nine factors stand up after regression and collinearity analysis. These nine factors are: complexity, reliability, interface, defect rate, modern programming skill, tool, schedule demand, test cycle, and test experience. This result shows that domestic testing is very different from that of the United States. Comparing our model with COCOMO model, our model is noticeably simpler and more accurate. Yu, Keh-Chiang; Yang, Chyan 尤克強; 楊千 1995 學位論文 ; thesis 56 zh-TW |
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zh-TW |
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Others
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碩士 === 國立交通大學 === 資訊管理研究所 === 83 === Software testing is crucial to assure the quality of software
systems. Cost estimation of testing is therefore very important
for feasibility study and scheduling of system development.
This research intends to find a convenient and improved model
for estimating the cost of software testing. The research first
collects 17 real projects of software testing in the last five
years. Based on past theories, possible variables affecting the
cost of testing are decided. Then the technique of factor
analysis is used to filter out important variables that are
independent of each other. Finally, nine factors stand up after
regression and collinearity analysis. These nine factors are:
complexity, reliability, interface, defect rate, modern
programming skill, tool, schedule demand, test cycle, and test
experience. This result shows that domestic testing is very
different from that of the United States. Comparing our model
with COCOMO model, our model is noticeably simpler and more
accurate.
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author2 |
Yu, Keh-Chiang; Yang, Chyan |
author_facet |
Yu, Keh-Chiang; Yang, Chyan Heung, Won-Fu 洪萬富 |
author |
Heung, Won-Fu 洪萬富 |
spellingShingle |
Heung, Won-Fu 洪萬富 Comparing Software Costing Models in Testing Phase: An Empirical Study |
author_sort |
Heung, Won-Fu |
title |
Comparing Software Costing Models in Testing Phase: An Empirical Study |
title_short |
Comparing Software Costing Models in Testing Phase: An Empirical Study |
title_full |
Comparing Software Costing Models in Testing Phase: An Empirical Study |
title_fullStr |
Comparing Software Costing Models in Testing Phase: An Empirical Study |
title_full_unstemmed |
Comparing Software Costing Models in Testing Phase: An Empirical Study |
title_sort |
comparing software costing models in testing phase: an empirical study |
publishDate |
1995 |
url |
http://ndltd.ncl.edu.tw/handle/03749651908917499200 |
work_keys_str_mv |
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