Zobrazeno 1 - 10 of 59 pro vyhledávání: '"Cheol-jung Yoo"'
1
Akademický článek
Two-Pass Technique for Clone Detection and Type Classification Using Tree-Based Convolution Neural Network
Autor: Young-Bin Jo, Jihyun Lee, Cheol-Jung Yoo
Publikováno v: Applied Sciences, Vol 11, Iss 14, p 6613 (2021)
Appropriate reliance on code clones significantly reduces development costs and hastens the development process. Reckless cloning, in contrast, reduces code quality and ultimately adds costs and time. To avoid this scenario, many researchers have pro
Externí odkaz: https://doaj.org/article/0f6f4a1f38ec476880b3b21c940c72ce
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2
Akademický článek
Automatic Test Data Generation Using the Activity Diagram and Search-Based Technique
Autor: Aman Jaffari, Cheol-Jung Yoo, Jihyun Lee
Publikováno v: Applied Sciences, Vol 10, Iss 10, p 3397 (2020)
In software testing, generating test data is quite expensive and time-consuming. The manual generation of an appropriately large set of test data to satisfy a specified coverage criterion carries a high cost and requires significant human effort. Cur
Externí odkaz: https://doaj.org/article/7481fba0bb754d9db991c74e54a3551b
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8
Automatic Test Data Generation Using the Activity Diagram and Search-Based Technique
Autor: Cheol-Jung Yoo, Jihyun Lee, Aman Jaffari
Publikováno v: Applied Sciences
Volume 10
Issue 10
Applied Sciences, Vol 10, Iss 3397, p 3397 (2020)
In software testing, generating test data is quite expensive and time-consuming. The manual generation of an appropriately large set of test data to satisfy a specified coverage criterion carries a high cost and requires significant human effort. Cur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7c3437471aed8e2c27360798436b601
Zobrazit plný text záznamu
9
Two-Pass Technique for Clone Detection and Type Classification Using Tree-Based Convolution Neural Network
Autor: Cheol-Jung Yoo, Jihyun Lee, Young-Bin Jo
Publikováno v: Applied Sciences
Volume 11
Issue 14
Applied Sciences, Vol 11, Iss 6613, p 6613 (2021)
Appropriate reliance on code clones significantly reduces development costs and hastens the development process. Reckless cloning, in contrast, reduces code quality and ultimately adds costs and time. To avoid this scenario, many researchers have pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7001081687e4ca8d740feb7e9a88ec6c
https://doi.org/10.3390/app11146613
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