Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Comparative Evaluation of Using Genetic Programming for Predicting Fault Count Data
Responsible organisation
2008 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

There have been a number of software reliability growth models (SRGMs) proposed in literature. Due to several reasons, such as violation of models' assumptions and complexity of models, the practitioners face difficulties in knowing which models to apply in practice. This paper presents a comparative evaluation of traditional models and use of genetic programming (GP) for modeling software reliability growth based on weekly fault count data of three different industrial projects. The motivation of using a GP approach is its ability to evolve a model based entirely on prior data without the need of making underlying assumptions. The results show the strengths of using GP for predicting fault count data.

Place, publisher, year, edition, pages
IEEE , 2008.
Keyword [en]
Genetic programming, fault count predictions
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-8310DOI: 10.1109/ICSEA.2008.9Local ID: oai:bth.se:forskinfoF19969F37EAB7F70C125751900486136ISBN: 978-1-4244-3218-9 (print)OAI: oai:DiVA.org:bth-8310DiVA: diva2:836017
Conference
Software Engineering Advances, 2008. ICSEA '08. The Third International Conference on
Available from: 2012-09-18 Created: 2008-12-08 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Torkar, Richard
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 234 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf