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Developing SNS Tool for Consensus Building on Environmental Safety Using Assurance Cases

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Computer Safety, Reliability, and Security (SAFECOMP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9923))

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Abstract

Systems have been connected and interacted with each other around our daily lives. The boundaries of the systems are no more exist, and the safety of the systems involves various stakeholders including professionals, governments, and ordinary citizens. Therefore, for the safety of systems and the environments, consensus building among various stakeholders (e.g., professionals, developers, government, citizens) is crucial. However, ordinary citizens usually does not have sufficient knowledge about the safety and risk of systems around them. To solve this problem, we aim to develop methods and tools for consensus building specially with citizens using assurance cases written in GSN. This paper specifies the initial study for the goal. We take radiation information as an example. We implement prototype tools for visualizing structured argument by GSN about radiation information for citizens, and conduct an experiment for the effectiveness of the tool. The preliminary result indicates that the tool based on GSN is statistically significantly effective for sharing correct radiation information with citizens.

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References

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Acknowledgement

This work has been partially conducted as a part of “Research Initiative on Advanced Software Engineering in 2015” supported by Software Reliability Enhancement Center (SEC), Information Technology Promotion Agency Japan (IPA) and a part of KAKENHI 15K15971.

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Correspondence to Yutaka Matsuno .

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© 2016 Springer International Publishing Switzerland

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Matsuno, Y., Ishigaki, Y., Bando, K., Kido, H., Tanaka, K. (2016). Developing SNS Tool for Consensus Building on Environmental Safety Using Assurance Cases. In: Skavhaug, A., Guiochet, J., Schoitsch, E., Bitsch, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2016. Lecture Notes in Computer Science(), vol 9923. Springer, Cham. https://doi.org/10.1007/978-3-319-45480-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-45480-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45479-5

  • Online ISBN: 978-3-319-45480-1

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