Predictive modeling techniques of software quality from software measures

Author

Khoshgoftaar, Taghi M. ; Munson, John C. ; Bhattacharya, Bibhuti B. ; Richardson, Gary D.

Author_Institution

Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL, USA

Volume

18

Issue

11

fYear

1992

fDate

11/1/1992 12:00:00 AM

Firstpage

979

Lastpage

987

Abstract

The objective in the construction of models of software quality is to use measures that may be obtained relatively early in the software development life cycle to provide reasonable initial estimates of the quality of an evolving software system. Measures of software quality and software complexity to be used in this modeling process exhibit systematic departures of the normality assumptions of regression modeling. Two new estimation procedures are introduced, and their performances in the modeling of software quality from software complexity in terms of the predictive quality and the quality of fit are compared with those of the more traditional least squares and least absolute value estimation techniques. The two new estimation techniques did produce regression models with better quality of fit and predictive quality when applied to data obtained from two software development projects

Keywords

software metrics; software quality; statistical analysis; least absolute value estimation; least squares; predictive modelling process; predictive quality; regression modeling; software complexity; software development life cycle; software measures; software quality; software system; Application software; Computer science; Predictive models; Programming; Software measurement; Software metrics; Software quality; Software safety; Software systems; Statistics;

fLanguage

English

Journal_Title

Software Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0098-5589

Type

jour

DOI

10.1109/32.177367

Filename

177367