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Detection of suspicious time windows in memory monitoring:
, In:
Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes
,
Weninger, Markus
;
Gander, Elias
;
Mössenböck, Hanspeter
- p. 95-104 , 2019
Link:
https://dl.acm.org/doi/10.1145/3357390.3361025
RT T1 <cTitle>Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes</cTitle>: T1 <Title>Detection of suspicious time windows in memory monitoring</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3361025&Exemplar=1&LAN=DE A1 Weninger, Markus A1 Gander, Elias A1 Mössenböck, Hanspeter PB ACM YR 2019 K1 Automatic Time Window Detection K1 Memory Churn Analysis K1 Memory Leak Analysis K1 Memory Monitoring K1 Software and its engineering K1 Software creation and management K1 Software verification and validation K1 Software defect analysis K1 Software organization and properties K1 Extra-functional properties K1 Software performance K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Time series analysis SP 95 OP 104 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3357390.3361025 DO https://dl.acm.org/doi/10.1145/3357390.3361025 SF ELIB - SuUB Bremen
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