A maintainability model for industrial software systems using design level metrics

Author

Muthanna, S. ; Kontogiannis, K. ; Ponnambalam, K. ; Stacey, B.

Author_Institution

Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada

fYear

2000

fDate

2000

Firstpage

248

Lastpage

256

Abstract

Software maintenance is a time consuming and expensive phase of a software product´s life-cycle. The paper investigates the use of software design metrics to statistically estimate the maintainability of large software systems, and to identify error prone modules. A methodology for assessing, evaluating and, selecting software metrics for predicting software maintainability is presented. In addition, a linear prediction model based on a minimal set of design level software metrics is proposed. The model is evaluated by applying it to industrial software systems

Keywords

reverse engineering; software maintenance; software metrics; software quality; design level metrics; error prone modules; industrial software systems; large software systems; linear prediction model; maintainability estimation; maintainability model; software design metrics; software maintainability; software maintenance; software metrics; software product life-cycle; Computer industry; Design engineering; Maintenance engineering; Predictive models; Seals; Software design; Software maintenance; Software metrics; Software quality; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Reverse Engineering, 2000. Proceedings. Seventh Working Conference on

Conference_Location

Brisbane, Qld.

ISSN

1095-1350

Print_ISBN

0-7695-0881-2

Type

conf

DOI

10.1109/WCRE.2000.891476

Filename

891476