Using logical data models for understanding and transforming legacy business applications

作     者：Chandra, Satish de Vries, Jackie Field, John Hess, Howard Kalidasan, Manivannan Raghavan, Komondoor V. Nieuwerth, Frans Ramalingam, Ganesan Xue, Justin 

作者机构：IBM Corp Div Res Hawthorne NY USA IBM Corp India Software Lab Bangalore Karnataka India IBM Corp Div Res New Delhi India IBM Corp Sales & Distribut Amsterdam Netherlands IBM Corp Div Res Bangalore Karnataka India 

出 版 物：《IBM SYSTEMS JOURNAL》 (IBM Syst J)

年 卷 期：2006年第45卷第3期

页      面：647-655页

核心收录：

主　　题：.extracting redundancy Business Applications COBOL Legacy Applications Technical Forum LOGICAL DATA Mastery project logical models 

摘      要：Many legacy applications perform essential business functions; yet, due to a number of factors, modifying such applications in order to accommodate new business requirements can be troublesome. Such factors include: the volume of code in a typical application, logical code structure that has deterio- rated as updates have accumulated over time, functional redundancy, code structure that reects the dated technology on which it was built, and scarce technical skills. We have argued that the consequent difculty of understanding and modify- ing legacy code can be ameliorated through the use of logical data models. In the Mastery project, we are developing both algorithms for extracting logical data models from legacy COBOL applications and software tools that use the generated models to query and transform the code from which the models are derived.