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Analyzing Data Structure Growth Over Time to Facilitate Mem..:

, In: Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering,

Weninger, Markus ; Gander, Elias ; Mössenböck, Hanspeter - p. 273-284 , 2019

Link: https://dl.acm.org/doi/10.1145/3297663.3310297

RT 
T1 <cTitle>Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering</cTitle>: T1 <Title>Analyzing Data Structure Growth Over Time to Facilitate Memory Leak Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3310297&Exemplar=1&LAN=DE
				
A1 Weninger, Markus
A1 Gander, Elias
A1 Mössenböck, Hanspeter
PB ACM
YR 2019
K1 analysis over time
K1 data structures
K1 domain specific language
K1 growth analysis
K1 memory leak detection
K1 memory monitoring
K1 General and reference
K1 Cross-computing tools and techniques
K1 Metrics
K1 Software and its engineering
K1 Software notations and tools
K1 Context specific languages
K1 Domain specific languages
K1 General programming languages
K1 Language features
K1 Data types and structures
K1 Information systems
K1 Data management systems
K1 Data structures
K1 Software organization and properties
K1 Extra-functional properties
K1 Software performance
K1 Software functional properties
K1 Formal methods
K1 Dynamic analysis
K1 Performance
K1 Contextual software domains
K1 Operating systems
K1 Memory management
K1 Garbage collection
SP 273
OP 284
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3297663.3310297
DO https://dl.acm.org/doi/10.1145/3297663.3310297
SF ELIB - SuUB Bremen

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