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This document summarizes a research paper that presents a machine learning approach to evaluate and optimize sets of software metrics by identifying redundant metrics. The researchers apply their approach to a set of metrics used to assess the quality characteristic of analyzability for test suites specified using the TTCN-3 language. Their machine learning method analyzes how metric values contribute to an overall quality classification and can remove metrics that provide little additional information beyo
- Author
- moeteee
- Language
- EN