Data Reverse Engineering using System Dependency Graphs

Data reverse engineering (DRE) is a complex and costly process that requires a deep understanding of large data-intensive software systems. This process can be made easier with the use of program understanding methods and tools. In this paper, we focus on the program slicing technique and we show ho...

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Bibliographic Details
Main Authors: Cleve, Anthony, Henrard, Jean, Hainaut, Jean-Luc
Other Authors: Elliot, Susan, Massimiliano, Sim, Penta, Di
Format: Other Non-Article Part of Journal/Newspaper
Language:English
Published: IEEE Computer society 2006
Subjects:
DML
Online Access:https://researchportal.unamur.be/en/publications/data-reverse-engineering-using-system-dependency-graphs(a445d7d8-af51-4a70-a402-54c1c0aed743).html
Description
Summary:Data reverse engineering (DRE) is a complex and costly process that requires a deep understanding of large data-intensive software systems. This process can be made easier with the use of program understanding methods and tools. In this paper, we focus on the program slicing technique and we show how it can be adapted to support DRE. We present a DML-independent SDG construction approach involving the analysis of database operations as a first stage. We describe a tool based upon this approach and we report on two industrial DRE projects. Data reverse engineering (DRE) is a complex and costly process that requires a deep understanding of large data-intensive software systems. This process can be made easier with the use of program understanding methods and tools. In this paper, we focus on the program slicing technique and we show how it can be adapted to support DRE. We present a DML-independent SDG construction approach involving the analysis of database operations as a first stage. We describe a tool based upon this approach and we report on two industrial DRE projects.