
The artifact accompanying the paper “Making Sense of Multi-Threaded Application Performance at Scale with NonSequitur,” which contains: The source code for the NonSequitur visualization tool. Some additional Python scripts and data collected/used during the user study described in the paper. This paper was accepted in the OOPSLA 2024 conference held in Pasadena, California. The artifact is contained in the zip file “oopsla24-ns-artifact.zip.” A detailed description of the artifact is in the file "OOPSLA 2024 NonSequitur Artifact Doc.pdf."
| 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). | 1 | |
| 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 |
