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This is a docker image containing a termination analyzer, MuVal [1]. You can load and run the image by the following commands. sudo docker load -i cav21ae.tar sudo docker run -it coar:cav21ae_dt /bin/bash --login See /home/muval/coar/cav21ae_dt/README.md or our github repository for details. [1] Satoshi Kura, Hiroshi Unno, and Ichiro Hasuo. Decision Tree Learning in CEGIS-Based Termination Analysis. CAV 2021.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

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