Multilayer perceptron discrimination of software quality in a biomedical data analysis system

Author

Alexiuk, Mark D. ; Pizzi, Nicolino J.

Author_Institution

Inst. for Biodiagnostics, Nat. Res. Council of Canada, Winnipeg, Man., Canada

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

770

Lastpage

775

Abstract

Biomedical data analysis typically involves large data sets, a diverse user base and intensive visualization procedures. These features place stringent quality demands upon software development and performance for both the architect and supervisor. An invaluable tool for software supervisors would be the automatic qualitative grading of software objects in terms of their extensibility, reusability, clarity and efficiency. This paper examines the quality assessment of software objects by a multilayer perceptron in relation to a gold standard provided by two independent software architects

Keywords

data visualisation; medical information systems; multilayer perceptrons; parallel programming; software metrics; software performance evaluation; software quality; software reusability; automatic qualitative grading; biomedical data analysis system; intensive visualization; multilayer perceptron discrimination; software development; software performance; software quality; software reusability; Bioinformatics; Data analysis; Data visualization; Gold; Multilayer perceptrons; Programming; Quality assessment; Software quality; Software reusability; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-7514-9

Type

conf

DOI

10.1109/CCECE.2002.1013039

Filename

1013039