Candidate metrics for object-oriented software within a taxonomy framework
作者： Fernando Brito e Abreu , Rogério Carapuça
DOI: 10.1016/0164-1212(94)90099-X
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摘要: Abstract This article offers an overview of the state art in object-oriented (OO) metrics as well some new contributions. The usefulness is reviewed. inappropriateness “traditional” to encompass development under OO paradigm discussed. A framework for classifying suggested. Metrics are classified along two vectors: category and granularity, rationale behind each presented. Candidate suggested within proposed framework. Finally, research directions that require further effort identified.
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