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
Predicting Fault Inflow in Highly Iterative Software Development Processes
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
2008 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

In highly iterative development processes, functionality is continuously added while existing faults are repaired simultaneously. Therefore, practitioners need means to predict the fault inflow, i.e. the number of faults at the a certain project stage, in order to allocate resources adequately. This study investigates the use of software reliability growth models (SRGMs) for predicting fault inflow. Additionally, a simple linear model is developed and compared to the SRGMs. The paper provides results from applying these models on fault data from three different industrial projects. One of the key findings of this study is that SRGMs are applicable for predicting fault inflow in highly iterative processes. Moreover, the results show that a linear model provides reasonably accurate predictions as well and therefore, represents a valid alternative to the SRGMs.

Place, publisher, year, edition, pages
2008. , 12 p.
Keyword [en]
fault inflow, prediction, testing, iterative, software development
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-3121Local ID: oai:bth.se:arkivex43078B067A6A2D9BC12574310062FC70OAI: oai:DiVA.org:bth-3121DiVA: diva2:830420
Uppsok
Technology
Supervisors
Available from: 2015-04-22 Created: 2008-04-20 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(559 kB)30 downloads
File information
File name FULLTEXT01.pdfFile size 559 kBChecksum SHA-512
4f6ac79ff93c54066e17a6380d062460fd7ead27904f9d3ef39cee82fd2ddfc4474eeb00959192d7ca39dfc9518712ad89b10a39ee4a7a99fa991aac70f3dc5e
Type fulltextMimetype application/pdf

By organisation
Department of Systems and Software Engineering
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 30 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 34 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