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Predicting accurate and actionable static analysis warnings..:

, In: Proceedings of the 30th international conference on Software engineering,

Ruthruff, Joseph R. ; Penix, John ; Morgenthaler, J. David.. - p. 341-350 , 2008

Link: https://dl.acm.org/doi/10.1145/1368088.1368135

RT 
T1 <cTitle>Proceedings of the 30th international conference on Software engineering</cTitle>: T1 <Title>Predicting accurate and actionable static analysis warnings				: an experimental approach</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1368135&Exemplar=1&LAN=DE
				
A1 Ruthruff, Joseph R.
A1 Penix, John
A1 Morgenthaler, J. David
A1 Elbaum, Sebastian
A1 Rothermel, Gregg
PB ACM
YR 2008
K1 experimental program analysis
K1 logistic regression analysis
K1 screening
K1 software quality
K1 static analysis tools
K1 Software and its engineering
K1 Software organization and properties
K1 Extra-functional properties
K1 Software reliability
K1 General and reference
K1 Cross-computing tools and techniques
K1 Reliability
K1 Theory of computation
K1 Semantics and reasoning
K1 Program semantics
K1 Program reasoning
K1 Program analysis
K1 Program verification
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Factorization methods
K1 Canonical correlation analysis
K1 Mathematics of computing
K1 Probability and statistics
K1 Statistical paradigms
K1 Regression analysis
SP 341
OP 350
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1368088.1368135
DO https://dl.acm.org/doi/10.1145/1368088.1368135
SF ELIB - SuUB Bremen

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