DocumentCode
913624
Title
Evaluating design metrics on large-scale software
Author
Zage, Wayne M. ; Zage, Dolores M.
Author_Institution
Dept. of Comput. Sci., Ball State Univ., Muncie, IN, USA
Volume
10
Issue
4
fYear
1993
fDate
7/1/1993 12:00:00 AM
Firstpage
75
Lastpage
81
Abstract
Design-quality metrics that are being developed for predicting the potential quality and complexity of the system being developed are discussed. The goal of the metrics is to provide timely design information that can guide a developer in producing a higher quality product. The metrics were tested on projects developed in a university setting with client partners in industry. To further validate the metrics, they were applied to professionally developed systems to test their predictive qualities. The results of applying two design metrics and a composite metric to data from a large-scale industrial project are presented.<>
Keywords
software metrics; software quality; systems analysis; design metrics evaluation; industry; large-scale industrial project; large-scale software; predictive qualities; software quality; system complexity; Algorithm design and analysis; Design engineering; Large-scale systems; Prototypes; Software design; Stress; System testing;
fLanguage
English
Journal_Title
Software, IEEE
Publisher
ieee
ISSN
0740-7459
Type
jour
DOI
10.1109/52.219620
Filename
219620
Link To Document