You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Suitability of genetic programming for software reliability growth modelling

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

2008 IEEE International Symposium on Computer Science and its Applications (CSA'08)

DOI:

10.1109/CSA.2008.13


Abstract

Genetic programming (GP) has been found to be effective in finding a model that fits the given data points without making any assumptions about the model structure. This makes GP a reasonable choice for software reliability growth modeling. This paper discusses the suitability of using GP for software reliability growth modeling and highlights the mechanisms that enable GP to progressively search for fitter solutions.

Bibtex

@inproceedings{Afzal3057,
author = {Wasif Afzal and Richard Torkar},
title = {Suitability of genetic programming for software reliability growth modelling},
month = {October},
year = {2008},
booktitle = {2008 IEEE International Symposium on Computer Science and its Applications (CSA'08)},
url = {http://www.es.mdu.se/publications/3057-}
}