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This upload is a VM containing the artifact accompanying our ECOOP'22 paper "Automatic Root Cause Quantification for Missing Edges in JavaScript Call Graphs". Please download the latest version of the artifact. The VirtualBox VM image contains the code, data, benchmarks and has all the dependencies resolved. Please read the README.md file for information about the artifact. To run the VM, 1. Download and import the VirtualBox VM image by selecting "File->Import Appliance" in VirtualBox. We have added all software requirements to the VM. For supporting hardware, please plan to allocate at least 12GB RAM and 2 processors to the VM. 2. Log in to the VM. The username and password for the VM are anon and 123456 respectively. 3. Use the instructions in README.md to run the experiments.
javascript, call graph
javascript, call graph
| 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 |
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| downloads | 10 |

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