"SEADS: Scalable and Cost-effective Dynamic Dependence Analysis of ..."

Xiaoqin Fu et al. (2021)

> Home

Details and statistics

DOI: 10.1145/3379345

access: closed

type: Journal Article

metadata version: 2025-01-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tosem/FuCLL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tosem/FuCLL21
Xiaoqin Fu, Haipeng Cai, Wen Li, Li Li:
SEADS: Scalable and Cost-effective Dynamic Dependence Analysis of Distributed Systems via Reinforcement Learning. ACM Trans. Softw. Eng. Methodol. 30(1): 10:1-10:45 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.