Estimation of Business Rules Using Associations Analysis

被引：0

作者：

Saruwatari, Takuya ^{[1
]}

Jin, Akio ^{[1
]}

Hamuro, Daisuk ^{[1
]}

Hoshino, Takashi ^{[1
]}

机构：

[1] NTT Corp, NTT Software Innovat Ctr, Minato Ku, 2-13-34 Kounan, Tokyo 1080075, Japan

来源：

KNOWLEDGE-BASED SOFTWARE ENGINEERING: 2018, JCKBSE 2018 | 2019年 / 108卷

关键词：

Legacy system; System renewal; As-Is system analysis; Business rules; Data mining;

D O I：

10.1007/978-3-319-97679-2_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：33 / 42

页数：10

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