Predicting release time based on Generalized Software Reliability Model (GSRM)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Development environments have changed drastically, development periods are shorter than ever and the number of team members has increased. Especially in open source software (OSS), a large number of developers contribute to OSS. OSS has difficulties in predicting or deciding when it will be released. In order to assess recent software developments, we proposed a generalized software reliability model (GSRM) based on a stochastic process, and compared GSRM with other models. In this paper, we focus on the release dates of OSS and the growth of faults (issues).

Original languageEnglish
Title of host publicationProceedings - International Computer Software and Applications Conference
PublisherIEEE Computer Society
Pages604-605
Number of pages2
DOIs
Publication statusPublished - 2014 Sep 15
Event38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014 - Vasteras, Sweden
Duration: 2014 Jul 212014 Jul 25

Other

Other38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014
CountrySweden
CityVasteras
Period14/7/2114/7/25

Keywords

  • Faults Prediction
  • Software Reliability Growth Model
  • Stochastic Process

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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  • Cite this

    Honda, K., Washizaki, H., & Fukazawa, Y. (2014). Predicting release time based on Generalized Software Reliability Model (GSRM). In Proceedings - International Computer Software and Applications Conference (pp. 604-605). [6899270] IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2014.86