Candidate Metrics for Object-Oriented Software within a Taxonomy Framework

This paper offers an overview of the state-of-the-art in 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. I - Introduction Object-Oriented (OO) technology has been pointed out as being one of the keys for solving the software crisis problem. For the past few years we have witnessed a burst in the availability of OO analysis and design methodologies, languages, database management systems and tools. However, little work has been done in the area of management of OO software development. One of the key issues in the management o..