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    Defining and Validating High-Level Design Metrics

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    Date
    1998-10-15
    Author
    Briand, Lionel
    Morasca, Sandro
    Basili, Victor R.
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    Abstract
    The availability of significant metrics in the early phases of the software development process allows for a better management of the later phases, and a more effective quality assessment when software quality can still be easily affected by preventive or corrective actions. In this paper, we introduce and compare four strategies for defining high-level design metrics. They are based on different sets of assumptions (about the design process) related to a well defined experimental goal they help reach: identify error-prone software parts. In particular, we define ratio-scale metrics for cohesion and coupling that show interesting properties. An in-depth experimental validation, conducted on large scale projects demonstrates the usefulness of the metrics we define. (Also cross-referenced as UMIACS-TR-94-75)
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    http://hdl.handle.net/1903/645
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    • Technical Reports of the Computer Science Department

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