Publisher
Florida Atlantic University
Description
Collecting software metrics manually could be a tedious, inaccurate, and subjective task. Two new tools were developed to automate this process in a rapid, accurate, and objective way. The first tool, the Metrics Analyzer, evaluates 19 metrics at the function level, from complete or partial systems written in C. The second tool, the Call Graph Generator, does not assess a metric directly, but generates a call graph based on a complete or partial system written in C. The call graph is used as an input to another tool (not considered here) that measures the coupling of a module, such as a function or a file. A case study analyzed the relationships among the metrics, including the coupling metric, using principal component analysis, which transformed the 19 metrics into eight principal components.
Note
College of Engineering and Computer Science
Extension
FAU
FAU
admin_unit="FAU01", ingest_id="ing1508", creator="staff:fcllz", creation_date="2007-07-19 04:25:16", modified_by="staff:fcllz", modification_date="2011-01-06 13:09:22"
Person Preferred Name
Jordan, Sylviane G.
Graduate College
Title Plain
Software metrics collection: Two new research tools
Use and Reproduction
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
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Physical Location
Florida Atlantic University Libraries
Title
Software metrics collection: Two new research tools
Other Title Info
Software metrics collection: Two new research tools