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E. Choi, O. Mizuno, and Y. Hu, "Code Coverage Analysis of Combinatorial Testing," In Proc. of 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016), pp. 34-40, December 2016. | |
ID | 742 |
分類 | 国際会議(査読付) |
タグ | analysis code combinatorial coverage testing |
表題 (title) |
Code Coverage Analysis of Combinatorial Testing |
表題 (英文) |
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著者名 (author) |
Eun-Hye Choi,Osamu Mizuno,Yifan Hu |
英文著者名 (author) |
Eun-Hye Choi,Osamu Mizuno,Yifan Hu |
編者名 (editor) |
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編者名 (英文) |
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キー (key) |
Eun-Hye Choi,Osamu Mizuno,Yifan Hu |
書籍・会議録表題 (booktitle) |
Proc. of 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) |
書籍・会議録表題(英文) |
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巻数 (volume) |
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号数 (number) |
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ページ範囲 (pages) |
34-40 |
組織名 (organization) |
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出版元 (publisher) |
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出版元 (英文) |
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出版社住所 (address) |
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刊行月 (month) |
12 |
出版年 (year) |
2016 |
採択率 (acceptance) |
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URL |
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付加情報 (note) |
Hamilton, New Zealand |
注釈 (annote) |
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内容梗概 (abstract) |
Combinatorial t-way testing with small t is known as an efficient black-box testing technique to detect parameter inter- action failures. So far, several empirical studies have reported the effectiveness of t-way testing on fault detection abilities. However, few studies have investigated the effectiveness of t-way testing on code coverage, which is one of the most important coverage criteria widely used for software testing. This paper presents a quantitative analysis to evaluate the code-coverage effectiveness of t-way testing. Using three open source utility programs, we compare t-way testing with exhaustive (all combination) testing w.r.t. their code coverage and test suite sizes.
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論文電子ファイル | draft (application/pdf) [一般閲覧可] |
BiBTeXエントリ |
@inproceedings{id742, title = {Code Coverage Analysis of Combinatorial Testing}, author = {Eun-Hye Choi and Osamu Mizuno and Yifan Hu}, booktitle = {Proc. of 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016)}, pages = {34-40}, month = {12}, year = {2016}, note = {Hamilton, New Zealand}, } |