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Profiling software through the use of metrics
Author(s) -
Robillard Pierre N.,
Coupal Daniel,
Coallier François
Publication year - 1991
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.4380210506
Subject(s) - computer science , software , profiling (computer programming) , data mining , normality , software metric , software engineering , software construction , software development , programming language , mathematics , statistics
This paper presents an approach to software assessment using a new software tool that integrates most of the known static metrics. A six‐step method shows how to use metrics to obtain a picture of the software project. The method is visual and each step provides graphical representations of the data. Successive integration of data results in normality profiles. Examples illustrate each step. The method is adaptable to various environments and specific applications.