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
%0 Conference Paper
%1 muthanna00
%A Muthanna, S.
%A Kontogiannis, K.
%A Ponnambalam, K.
%A Stacey, B.
%B Working Conference on Reverse Engineering
%D 2000
%J , 2000. Proceedings. Seventh Working Conference on
%K reverse engineering maintenance software
%P 248--256
%T A maintainability model for industrial software systems using design
level metrics
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=891476
%X 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
@inproceedings{muthanna00,
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},
added-at = {2006-09-18T06:26:07.000+0200},
author = {Muthanna, S. and Kontogiannis, K. and Ponnambalam, K. and Stacey, B.},
biburl = {https://www.bibsonomy.org/bibtex/28d82543a2f05c56900a634be8709cf17/neilernst},
booktitle = {Working Conference on Reverse Engineering},
citeulike-article-id = {671580},
description = {Not previously uploaded},
interhash = {d6dd7631c5e6e639e41c3ecdee091d51},
intrahash = {8d82543a2f05c56900a634be8709cf17},
journal = {, 2000. Proceedings. Seventh Working Conference on},
keywords = {reverse engineering maintenance software},
pages = {248--256},
priority = {0},
timestamp = {2006-09-18T06:26:07.000+0200},
title = {A maintainability model for industrial software systems using design
level metrics},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=891476},
year = 2000
}