A practical classification-rule for software-quality models

A practical classification rule for a SQ (software quality) model considers the needs of the project to use a model to guide targeting software RE (reliability enhancement) efforts, such as extra reviews early in development. Such a rule is often more useful than alternative rules. This paper discus...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on reliability Vol. 49; no. 2; pp. 209 - 216
Main Authors Khoshgoftaar, T.M., Allen, E.B.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2000
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A practical classification rule for a SQ (software quality) model considers the needs of the project to use a model to guide targeting software RE (reliability enhancement) efforts, such as extra reviews early in development. Such a rule is often more useful than alternative rules. This paper discusses several classification rules for SQ models, and recommends a generalized classification rule, where the effectiveness and efficiency of the model for guiding software RE efforts can be explicitly considered. This is the first application of this rule to SQ modeling that we know of. Two case studies illustrate application of the generalized classification rule. A telecommunication-system case-study models membership in the class of fault-prone modules as a function of the number of interfaces to other modules. A military-system case-study models membership in the class of fault-prone modules as a function of a set of process metrics that depict the development history of a module. These case studies are examples where balanced misclassification rates resulted in more useful and practical SQ models than other classification rules.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:0018-9529
1558-1721
DOI:10.1109/24.877340