A Maintainability Model for Industrial Software Systems Using Design Level Metrics

Authors:
S. Muthanna;K. Ponnambalam;K. Kontogiannis;B. Stacey
Affiliations:
-;-;-;-
Venue:
WCRE '00 Proceedings of the Seventh Working Conference on Reverse Engineering (WCRE'00)
Year:
2000

Citing 0
Cited 8

Subjective evaluation of software evolvability using code smells: An empirical study

Empirical Software Engineering
An empirical study into class testability

Journal of Systems and Software - Special issue: Selected papers from the 4th source code analysis and manipulation (SCAM 2004) workshop
Measuring maintainability in early phase using aesthetic metrics

SEPADS'05 Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems
Software maintainability assessment based on fuzzy logic technique

ACM SIGSOFT Software Engineering Notes
Predicting software maintenance using fuzzy model

ACM SIGSOFT Software Engineering Notes
DG-metrics formulization for DGML-based software design

ACM SIGSOFT Software Engineering Notes
Assessment of maintainability metrics for object-oriented software system

ACM SIGSOFT Software Engineering Notes
Lessons learned from automated analysis of industrial UML class models (an experience report)

MoDELS'05 Proceedings of the 8th international conference on Model Driven Engineering Languages and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Software maintenance is a time consuming and expensive phase of a software product's life cycle. This 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.