Abstract
Because of the proliferation of software metrics, there is a need for analytical methodologies that integrate both software complexity metrics and various measures describing the software development environment. To facilitate this integration, a model-based framework is presented that provides for both software metrics research and the application of research results to software project assessment. A number of analytical methodologies are discussed to develop models predicting software quality factors.
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