A generalized software reliability model considering uncertainty and dynamics in development

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

6 Citations (Scopus)

Abstract

Development environments have changed drastically in recent years. The development periods are shorter than ever and the number of team has increased. These changes have led to difficulties in controlling the development activities and predicting the end of developments. In order to assess recent software developments, we propose a generalized software reliability model based on a stochastic process, and simulate developments that include uncertainties and dynamics, such as unpredictable requirements changes, shortening of the development period, and decrease in the number of members. We also compare our simulation results to those of other software reliability models. Using the values of uncertainties and dynamics obtained from our model, we can evaluate the developments in a quantitative manner.

Original languageEnglish
Title of host publicationProduct-Focused Software Process Improvement - 14th International Conference, PROFES 2013, Proceedings
Pages342-346
Number of pages5
DOIs
Publication statusPublished - 2013 Oct 8
Event14th International Conference on Product-Focused Software Process Improvement, PROFES 2013 - Paphos, Cyprus
Duration: 2013 Jun 122013 Jun 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7983 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Product-Focused Software Process Improvement, PROFES 2013
CountryCyprus
CityPaphos
Period13/6/1213/6/14

Keywords

  • Prediction of bugs
  • Software Reliability Model
  • Stochastic Process

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Honda, K., Washizaki, H., & Fukazawa, Y. (2013). A generalized software reliability model considering uncertainty and dynamics in development. In Product-Focused Software Process Improvement - 14th International Conference, PROFES 2013, Proceedings (pp. 342-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7983 LNCS). https://doi.org/10.1007/978-3-642-39259-7_30