Abstract
Recently, IT system renewal projects are increased along with aging of IT systems in long term operation. In such a project, it is necessary to extract the business rules that were implemented in legacy system. In this paper, a method is proposed that estimate business rules from data that stored in the legacy system. An association analysis is used in the proposed method. The proposed method is evaluated using pseudo data.
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Saruwatari, T., Jin, A., Hamuro, D., Hoshino, T. (2019). Estimation of Business Rules Using Associations Analysis. In: Virvou, M., Kumeno, F., Oikonomou, K. (eds) Knowledge-Based Software Engineering: 2018. JCKBSE 2018. Smart Innovation, Systems and Technologies, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-319-97679-2_4
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DOI: https://doi.org/10.1007/978-3-319-97679-2_4
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