Maintenance effort management based on double jump diffusion model for OSS project

Yoshinobu Tamura () and Shigeru Yamada ()
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Yoshinobu Tamura: Tokyo City University
Shigeru Yamada: Tottori University

Annals of Operations Research, 2022, vol. 312, issue 1, No 20, 426 pages

Abstract: Abstract Many open source software (OSS) under various OSS projects are in action around the world. Considering the characteristics of OSS development and management projects, operation performance measures for OSS project management will take an irregular fluctuation in the long term of operation, because several developer and many users are closely related to the maintenance of OSS. Also, OSS projects will heavily depend the environment of internet network. This paper focuses on the irregular fluctuation of operation performance measures for OSS project management. We apply the double jump diffusion process models to the noisy cases in the operation of OSS. In particular, the maintenance effort is estimated by the stochastic differential equation model in terms of OSS project management. Moreover, we propose the method of maintenance effort management based on the double jump diffusion process model considering the irregular fluctuation of performance for OSS projects. Thereby, it will be helpful for the OSS developers and managers to understand the maintenance effort status of OSS from the standpoint of OSS project management. Also, we analyze actual data to show numerical examples of the proposed models with the characteristics considering noisy and jump of OSS projects.

Keywords: Open source software; Maintenance effort; Double jump diffusion process model (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10479-019-03170-w

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