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Candidate metrics for object-oriented software within a taxonomy framework

1994; Elsevier BV; Volume: 26; Issue: 1 Linguagem: Inglês

10.1016/0164-1212(94)90099-x

1873-1228

Fernando Brito e Abreu, Rogério Carapuça,

Advanced Software Engineering Methodologies

This article offers an overview of the state of the art in object-oriented (OO) metrics as well as some new contributions. The usefulness of metrics is reviewed. The inappropriateness of "traditional" metrics to encompass development under the OO paradigm is discussed. A framework for classifying metrics is suggested. Metrics are classified along two vectors: category and granularity, the usefulness and rationale behind each category are presented. Candidate metrics are suggested within the proposed framework. Finally, some research directions that require further effort are identified.