DocumentCode :
2577987
Title :
Parallel iterative reengineering model of legacy systems
Author :
Su, Xing ; Yang, Xiaohu ; Li, Juefeng ; Wu, Di
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
4054
Lastpage :
4058
Abstract :
Great improvements have been made in methodologies on reengineering of legacy systems to enhance the migration process. Unfortunately, taking into account the large scale of these systems, the duration of reengineering process can still be quite long which will make an impact on the business the systems supported. In this paper we propose a parallel iterative reengineering model to reduce the reengineering process duration. The model uses the method of formal concept analysis to process the complex access relationship between legacy components and shared data. An algorithm named ¿bottom-up¿, which consists of two parts, is introduced to build the parallel schedule for the reengineering process. This model shortens the reengineering duration and has been proven to be successful in improving the transition system´s performance in a comparative experiment.
Keywords :
iterative methods; software maintenance; bottom-up algorithm; complex access relationship; formal concept analysis; legacy components; legacy systems; migration; parallel iterative reengineering model; reengineering process duration; shared data; Business process re-engineering; Computer science; Costs; Cybernetics; Educational institutions; Iterative algorithms; Iterative methods; Large-scale systems; System performance; USA Councils; Bottom-Up Algorithm; Formal Concept Analysis; Legacy System Reengineering; Parallel Iterative Reengineering Model; Performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346680
Filename :
5346680
Link To Document :
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