Department of Intelligent Systems, Tokyo City University, Tamazutsumi 1-28-1, Setagaya-ku, Tokyo 158-8557, Japan.
Graduate School of Engineering, Tottori University, Minami 4-101, Koyama, Tottori-Shi, 680-8552, Japan.
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.
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.
The authors would like to express their sincere thanks to the editor and anonymous reviews for their time and valuable suggestions.
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