Learning-based Assistant for Data Migration of Enterprise Information Systems

被引：0

作者：

Mitra, Sayandeep ^{[1
]}

Mukherjee, Debayan ^{[1
]}

Bandyopadhyay, Atreya ^{[1
]}

Chowdhury, Rajdip ^{[1
]}

Medicherla, Raveendra Kumar ^{[1
]}

Bhattacharya, Indrajit ^{[1
]}

Naik, Ravindra ^{[1
]}

机构：

[1] TCS Res, Chennai, Tamil Nadu, India

来源：

2021 36TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING ASE 2021 | 2021年

关键词：

Program Synthesis; Data Transformation; Data Migration; Programming by Examples(PBE); Enterprise Information System;

D O I：

10.1109/ASE51524.2021.9678533

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Data migration from source to target information system is a critical step for modernizing information systems. Central to data migration is data transform that transforms the source system data into target system. In this paper we present a tool that assists the experts in creating the data transformation specification by (a) suggesting candidate field matches between the source and target data models using machine learning and knowledge representation, and (b) rules for the data transformation using program synthesis. It takes the expert's feedback for the identified matches and synthesized rules and proposes new matches and transformation rules. We have executed our tool on real-life industrial data. Our schema matching recall at 5 is 0.76, while for the rule generator recall at 2 is 0.81.

引用

页码：1121 / 1125

页数：5

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