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International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749


Project Maintenance Effort Optimization Based on Flexible JDP Model for OSS Fault Big Data

Project Maintenance Effort Optimization Based on Flexible JDP Model for OSS Fault Big Data

Yoshinobu Tamura
Department of Intelligent Systems, Tokyo City University, Tamazutsumi 1-28-1, Setagaya-ku, Tokyo 158-8557, Japan.

Shigeru Yamada
Graduate School of Engineering, Tottori University, Minami 4-101, Koyama, Tottori-Shi, 680-8552, Japan.

DOI https://doi.org/10.33889/IJMEMS.2020.5.1.006

Received on March 22, 2019
  ;
Accepted on September 09, 2019

Abstract

We focus on double irregular fluctuations under jump in the operation performance of open source software (OSS). Then, this paper proposes the method of cost optimization based on flexible jump diffusion process (JDP) model in order to consider several noisy cases for maintenance effort in the OSS operation with version upgrade. In particular, we discuss a method of effort optimization based on the flexible JDP model with the unexpected irregular continuous fluctuation in version upgrade for OSS projects. The proposed method will be useful for the OSS project managers to decide the optimal version upgrade and maintenance time of OSS under the OSS project management. Furthermore, we show several analysis examples of the optimization method considering the properties of version upgrade under OSS projects.

Keywords- Fault big data, Jump diffusion process, Software effort, Effort optimization.

Citation

Tamura, Y., & Yamada, S. (2020). Project Maintenance Effort Optimization Based on Flexible JDP Model for OSS Fault Big Data. International Journal of Mathematical, Engineering and Management Sciences, 5(1), 66-75. https://doi.org/10.33889/IJMEMS.2020.5.1.006.

Conflict of Interest

The authors confirm that there is no conflict of interest to declare for this publication.

Acknowledgements

The authors would like to express their sincere thanks to the editor and anonymous reviews for their time and valuable suggestions.

References

Arnold, L. (1974). Stochastic differential equations–theory and applications. John Wiley & Sons, New York.

Holland, J.H. (1975). Adaptation in natural and artificial systems. University of Michigan Press. USA.

Honoré, P. (1998). Pitfalls in estimating jump-diffusion models. Working Paper Series 18, University of Aarhus, School of Business.

Kapur, P.K., Pham, H., Gupta, A., & Jha, P.C. (2011). Software reliability assessment with OR applications. (p. 364). London: Springer.

Merton, R.C. (1976). Option pricing when underlying stock returns are discontinuous. Journal of Financial Economics, 3(1-2), 125-144.

Norris, J.S. (2004). Mission-critical development with open source software: lessons learned. IEEE Software, 21(1), 42-49.

Tamura, Y., & Yamada, S. (2015). Reliability analysis based on a jump diffusion model with two Wiener processes for cloud computing with big data. Entropy, 17(7), 4533-4546.

Yamada, S. (2014). Software reliability modeling: fundamentals and applications, (Vol. 5) Springer–Verlag, Tokyo/Heidelberg.

Yamada, S. and Tamura, Y. (2016). OSS reliability measurement and assessment. Springer International Publishing, Switzerland.

Yamada, S., & Osaki, S. (1985). Cost-reliability optimal software release policies for software systems. IEEE Transactions on Reliability, R-34(5), 422-424.

Yamada, S., & Osaki, S. (1987). Optimal software release policies with simultaneous cost and reliability requirements. European Journal of Operational Research, 31(1), 46-51.

Yamada, S., Kimura, M., Tanaka, H., & Osaki, S. (1994). Software reliability measurement and assessment with stochastic differential equations. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 77(1), 109-116.