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Defect prediction on a legacy industrial software : a ca..:

, In: Proceedings of the 4th International Workshop on Conducting Empirical Studies in Industry,

Koroglu, Yavuz ; Sen, Alper ; Kutluay, Doruk... - p. 14-20 , 2016

Link: https://dl.acm.org/doi/10.1145/2896839.2896843

RT 
T1 <cTitle>Proceedings of the 4th International Workshop on Conducting Empirical Studies in Industry</cTitle>: T1 <Title>Defect prediction on a legacy industrial software				: a case study on software with few defects</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2896843&Exemplar=1&LAN=DE
				
A1 Koroglu, Yavuz
A1 Sen, Alper
A1 Kutluay, Doruk
A1 Bayraktar, Akin
A1 Tosun, Yalcin
A1 Cinar, Murat
A1 Kaya, Hasan
PB ACM
YR 2016
K1 defect prediction
K1 experience report
K1 feature selection
K1 process metrics
K1 random forest
K1 Software and its engineering
K1 Software creation and management
K1 Software post-development issues
K1 Maintaining software
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Classification and regression trees
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
SP 14
OP 20
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2896839.2896843
DO https://dl.acm.org/doi/10.1145/2896839.2896843
SF ELIB - SuUB Bremen

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