NDLI: Extracting Reusable Object-Oriented Legacy Code Segments with Combined Formal Concept Analysis and Slicing Techniques for Service Integration

Content Provider	IEEE Xplore Digital Library
Author	Zhuopeng Zhang Hongji Yang Chu, W.C.
Copyright Year	2006
Description	Author affiliation: Software Technol. Res. Lab., De Montfort Univ., Leicester (Zhuopeng Zhang; Hongji Yang)
Abstract	Web services, together with service-oriented architectures, are promising integration technology to facilitate legacy system Webification and evolution. However, a service-oriented re-engineering process is still essential for legacy systems to survive in the service-oriented computing environment. In this service-oriented re-engineering process, understanding and reusing object-oriented code turn to be important activities. In this paper, we proposed a comprehensive approach to support the extraction and integration of reusable object-oriented legacy code. In the extraction phase, formal concept analysis, which is a general and flexible technique for recovering structural design information, and inter-procedural program slicing are adopted as main reverse engineering techniques to recover reusable object-oriented code. In the integration phase, service packaging processes are presented in details. Our approach produces extracted components with core legacy object-oriented code function in Web services by wrapping underlying computing models with XML
Starting Page	385
Ending Page	392
File Size	752925
Page Count	8
File Format	PDF
ISBN	0769527183
ISSN	15506002
DOI	10.1109/QSIC.2006.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Service oriented architecture Web services Data mining Application software Reverse engineering Information analysis Computer architecture Object oriented modeling Lattices Software reusability
Content Type	Text
Resource Type	Article

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