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Comparative Study on Functional Resonance Matrices

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Knowledge-Based Software Engineering: 2022 (JCKBSE 2022)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 30))

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Abstract

As the socio technological has complex resonant relationship, the resonance coupling of functions is necessary to analyze. Functional Resonance Analysis Method (FRAM) has been used to investigate the resonance couplings by using aspects to connect each other. There have been proposed two types of matrix representations of FRAM to exhaustively analyze the coupling between functions. However, inter relationship between matrices is no been clarified. In this paper, we propose another new matrix representation of FRAM as well as compare these three types of matrix representations by using connectivity tuple notation between functions. The result shows the equivalence of FRAM matrix representations.

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Authors and Affiliations

  1. International Professional University of Technology in Nagoya, 4-27-1 Meieki, Nakamura-ku, Nagoya, Japan

    Shuichiro Yamamoto

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  1. Shuichiro Yamamoto
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Correspondence to Shuichiro Yamamoto .

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Editors and Affiliations

  1. Department of Informatics, University of Piraeus, Piraeus, Greece

    Maria Virvou

  2. NTT Data Corporation, Tokyo, Japan

    Takuya Saruwatari

  3. KES International, Selby, UK

    Lakhmi C. Jain

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Yamamoto, S. (2023). Comparative Study on Functional Resonance Matrices. In: Virvou, M., Saruwatari, T., Jain, L.C. (eds) Knowledge-Based Software Engineering: 2022. JCKBSE 2022. Learning and Analytics in Intelligent Systems, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-031-17583-1_13

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