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Causality-Guided Adaptive Interventional Debugging:

, In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data,

Fariha, Anna ; Nath, Suman ; Meliou, Alexandra - p. 431-446 , 2020

Link: https://dl.acm.org/doi/10.1145/3318464.3389694

RT 
T1 <cTitle>Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data</cTitle>: T1 <Title>Causality-Guided Adaptive Interventional Debugging</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3389694&Exemplar=1&LAN=DE
				
A1 Fariha, Anna
A1 Nath, Suman
A1 Meliou, Alexandra
PB ACM
YR 2020
K1 concurrency bug
K1 group testing
K1 root-causing
K1 trace analysis
K1 Software and its engineering
K1 Software creation and management
K1 Software verification and validation
K1 Software defect analysis
K1 Software testing and debugging
K1 Software organization and properties
K1 Contextual software domains
K1 Operating systems
K1 Process management
K1 Concurrency control
K1 Computing methodologies
K1 Artificial intelligence
K1 Knowledge representation and reasoning
K1 Causal reasoning and diagnostics
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Algorithm design techniques
K1 Divide and conquer
SP 431
OP 446
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3318464.3389694
DO https://dl.acm.org/doi/10.1145/3318464.3389694
SF ELIB - SuUB Bremen

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