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This is the dataset used in our case study on architectural smells evolution. We tracked smells from 524 versions among 14 open source Java systems. More information can be found in our ICSME'19 paper titled: "Investigating instability architectural smells evolution: an exploratory case study". Additionally, you can find the tool on GitHub: https://github.com/darius-sas/astracker
empirical study, open source, architectural smells, code smells, tracking
empirical study, open source, architectural smells, code smells, tracking
| 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 | 8 | |
| downloads | 1 |

Views provided by UsageCounts
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