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International Conference on Advanced Software Engineering and Its Applications

ASEA 2011: Software Engineering, Business Continuity, and Education pp 377–384Cite as

Bayesian Inference for Credible Intervals of Optimal Software Release Time

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 257))

Abstract

This paper deals with the estimation of a credible interval of the optimal software release time in the context of Bayesian inference. In the past literature, the optimal software release time was often discussed under the situation where model parameters are exactly known. However, in practice, we should evaluate effects of the optimal software release time on uncertainty of the model parameters. In this paper, we apply Bayesian inference to evaluating the uncertainty of the optimal software release time. More specifically, a Markov chain Monte Carlo (MCMC) method is proposed to compute a credible interval of the optimal software release time.

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Author information

Authors and Affiliations

  1. Department of Information Engineering, Graduate School of Engineering, Hiroshima University, 1–4–1 Kagamiyama, Higashi-Hiroshima, 739-8527, Japan

    Hiroyuki Okamura & Tadashi Dohi

  2. Faculty of Information Sciences and Engineering, Nanzan University, Seto, 489–0863, Japan

    Shunji Osaki

Authors
  1. Hiroyuki Okamura
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  2. Tadashi Dohi
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  3. Shunji Osaki
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Catholic University of Daegu, South Korea

    Haeng-kon Kim

  4. Dept. of Computer Engineering, Mokwon University, 800, Doan-dong, Seo-gu, 302-729, Daejeon, Korea

    Heau-jo Kang

  5. Woosuk University, 565-701, Jeollabuk-do, Korea

    Kyung Jung Kim

  6. University of Michigan-Dearborn, Dearborn, MI, USA

    Akingbehin Kiumi

  7. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Okamura, H., Dohi, T., Osaki, S. (2011). Bayesian Inference for Credible Intervals of Optimal Software Release Time. In: Kim, Th., et al. Software Engineering, Business Continuity, and Education. ASEA 2011. Communications in Computer and Information Science, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27207-3_41

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  • DOI: https://doi.org/10.1007/978-3-642-27207-3_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27206-6

  • Online ISBN: 978-3-642-27207-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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