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Seads: Scalable and Cost-effective Dynamic Dependence Analysis of Distributed Systems via Reinforcement Learning.

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Title: Seads: Scalable and Cost-effective Dynamic Dependence Analysis of Distributed Systems via Reinforcement Learning.
Authors: XIAOQIN FU1, xiaoqin.fu@wsu.edu, HAIPENG CAI1, haipeng.cai@wsu.edu, WEN LI1, li.wen@wsu.edu, LI LI2, li.li@monash.edu
Source: ACM Transactions on Software Engineering & Methodology; Dec2020, Vol. 30 Issue 1, p1-45, 45p
Database: Applied Science & Technology Source
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        Value: 10.1145/3379345
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      – Code: eng
        Text: English
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      – TitleFull: Seads: Scalable and Cost-effective Dynamic Dependence Analysis of Distributed Systems via Reinforcement Learning.
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              Text: Dec2020
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