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Quantitative Progress Evaluation for Open Source Project with Application to Bullseye Chart

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Human Interface and the Management of Information: Visual and Information Design (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13305))

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Abstract

Open source software (OSS) are used under the various situations, because OSS are useful for many users to make cost reduction, standardization, and quick delivery. While OSS have many advantages, it is difficult for us to quantitatively grasp the progress of development such as general software development because OSS are developed by many different people around the world. In general software development, Earned Value Management (EVM) is often used to quantitatively evaluate the progress of a project. However, it is difficult to apply EVM directly in terms of the characteristic of the open source project. Therefore, EVM in open source projects has not been sufficiently researched.

In this paper, we apply the progress data of open source projects to EVM. We also try to derive the bullseye chart by using the Cost Performance Index (CPI) and Schedule Performance Index (SPI) known as the indexes of EVM. Also, we apply the derivation method discussed in this paper to actual open source project data in order to quantitatively evaluate the project.

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Acknowledgments

This work was supported in part by the JSPS KAKENHI Grant No. 20K11799 in Japan.

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Correspondence to Yoshinobu Tamura .

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Sone, H., Tamura, Y., Yamada, S. (2022). Quantitative Progress Evaluation for Open Source Project with Application to Bullseye Chart. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information: Visual and Information Design. HCII 2022. Lecture Notes in Computer Science, vol 13305. Springer, Cham. https://doi.org/10.1007/978-3-031-06424-1_29

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  • DOI: https://doi.org/10.1007/978-3-031-06424-1_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06423-4

  • Online ISBN: 978-3-031-06424-1

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