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This release contains one standard implementation of A12 effect size, for instance used in the following paper: MINKU, L.; HOU, S.. "Clustering Dycom: An Online Cross-Company Software Effort Estimation Study", Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE), November 2017. It also contains two temporal versions of A12, where A12 is computed multiple times across time. The window-based version (a12temporal2.m) was used in the following paper: MINKU, L.L.; YAO, X. . "Which Models of the Past Are Relevant to the Present? A software effort estimation approach to exploiting useful past models", Automated Software Engineering Journal, v. 24, n. 7, p. 499-542, September 2017, doi: 10.1007/s10515-016-0209-7.
| 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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