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Transfer Defect Learning Jaechang Nam∗ , Sinno Jialin Pan† , and Sunghun Kim∗ ∗ Department of Computer Science and Engineering The Hong Kong University of Science and Technology, China
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Document Date: 2018-02-21 17:47:05


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City

New York / Amsterdam / Waltham / /

Company

Neural Networks / EQ LC / MIT Press / Target / Macau Science / V. T HREATS TO VALIDITY Systems / ML LC / Development Time / S. Maybank / V. R. Basili L. C. / /

Country

China / Singapore / /

/

Facility

Engineering The Hong Kong University of Science / library Version / /

IndustryTerm

software engineering / subject systems / data mining communities / text mining / machine learning algorithms / recommendation systems / Web browsers / developer-module networks / machine learning tools / data mining / Web server Security Bar-code reader library Version / recommender systems / fault-prone software modules / software defects / real-world applications / telephone switches / search engine library / cross-company defect prediction algorithm / large software systems / selected systems / defect prediction algorithms / classification algorithms / software vulnerabilities / natural language processing / mining / software repositories / software changes / empirical software / Internet Explorer / crosscompany software / /

Organization

LC JDT / JDT LC / Macau Science and Technology Development Fund / MIT / Hong Kong University of Science and Technology / LC PDE / PDE JDT / PDE LC / JDT PDE / Institute for Infocomm Research / Department of Computer Science / /

Person

J. Nam / B. Zadrozny / D. Han / Y. Zhang / R. Akella / S. Kim / P. S. Yu / R. Wu / Thomas Zimmermann / S. Cheung / L. Gong / Morgan Kaufmann / A. Bernstein / V / T. Zimmermann / G. Jeong / I. Davidson / Qiang Yang / I. P. Hoh / E. J. Whitehead / Jr. / H. Zhang / T. Lee / John Wiley / W. Fan / /

Position

second author / Bin Cao / representative / /

Product

Apache / /

ProgrammingLanguage

T / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

machine learning algorithms / search engine / machine learning / cross-company defect prediction algorithm / natural language processing / defect prediction algorithms / classification algorithms / HTTP / data mining / Web server / /

URL

http /

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