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It is important to develop corpuses of data to test out the efficacy of using metrics. Replicated studies are an important contribution to corpuses of metrics data. There are few replicated studies using metrics reported in software engineering.To contribute more data to the body of evidence on the use of novel program slicing-based cohesion metrics.We replicate a very well regarded study by Meyers and Binkley [15, 16] which analyses the cohesion of open source projects using program slicing-based metrics.Our results are very different from Meyers and Binkley's original results. This suggests that there are a variety of opportunities for inconsistently to creep into the collection and analysis of metrics data during replicated studies.We conclude that researchers using metrics data must present their work with sufficient detail for replication to be possible. Without this detail it is difficult for subsequent researchers to accurately replicate a study such that consistent and reliable data can be added to a body of evidence.
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citations 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 |