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Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes
Faculty of Information Engineering, Guizhou Institute of Technology, Guiyang, China .
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2016 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 115, 102-110 p.Article in journal (Refereed) Published
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Text
Abstract [en]

Large software systems require regular upgrading that tries to correct the reported faults in previous versions and add some functions to meet new requirements. It is thus necessary to investigate changes in reliability in the face of ongoing releases. However, the current modeling frameworks mostly rely on the idealized assumption that all faults will be removed instantaneously and perfectly. In this paper, the failure processes in testing multi-release software are investigated by taking into consideration the delays in fault repair time based on a proposed time delay model. The model is validated on real test datasets from the software that has been released three times with new features. A comprehensive analysis of optimal release times based on cost-efficiency is also provided, which could help project managers to determine the best time to release the software. 

Place, publisher, year, edition, pages
2016. Vol. 115, 102-110 p.
Keyword [en]
Fault correction process, Multiple upgrading, Software reliability, Computer software, Fault detection, Open source software, Open systems, Reliability, Reliability analysis, Software engineering, Software testing, Time delay, Comprehensive analysis, Current modeling, Fault detection and correction process, Large software systems, Model and analysis, Project managers
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:hig:diva-21360DOI: 10.1016/j.jss.2016.01.025ISI: 000373411400007ScopusID: 2-s2.0-84960862129OAI: oai:DiVA.org:hig-21360DiVA: diva2:915213
Available from: 2016-03-29 Created: 2016-03-29 Last updated: 2016-05-17Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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