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This is the replication package for the study "On the relation between architectural smells and source code changes". It contains: The dataset R Scripts used to analyse the dataset Extra plots that visualize the data in the dataset
Empirical Study, Science Policy, Cell Biology, Technical debt, Biochemistry, Microbiology, Software Repository Mining, Infectious Diseases, Technical Debt Interest, Genetics, Biological Sciences not elsewhere classified, Architectural Smells, Architectural Technical Debt
Empirical Study, Science Policy, Cell Biology, Technical debt, Biochemistry, Microbiology, Software Repository Mining, Infectious Diseases, Technical Debt Interest, Genetics, Biological Sciences not elsewhere classified, Architectural Smells, Architectural Technical Debt
| 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 | 6 | |
| downloads | 37 |

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