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Software metrics collection: Two new research tools

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Date Issued:
1997
Summary:
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.
Title: Software metrics collection: Two new research tools.
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Name(s): Jordan, Sylviane G.
Florida Atlantic University, Degree grantor
Khoshgoftaar, Taghi M., Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1997
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 167 p.
Language(s): English
Summary: 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.
Identifier: 9780591616910 (isbn), 15483 (digitool), FADT15483 (IID), fau:12247 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.)--Florida Atlantic University, 1997.
Subject(s): Software measurement
Computer software--Development
Computer software--Evaluation
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/15483
Sublocation: Digital Library
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.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.