DocumentCode :
2035292
Title :
A graph pattern matching approach to software architecture recovery
Author :
Sartipi, Kamran ; Kontogiannis, Kostas
Author_Institution :
Dept. of Comput. Sci., Waterloo Univ., Ont., Canada
fYear :
2001
fDate :
2001
Firstpage :
408
Lastpage :
419
Abstract :
This paper presents a technique for recovering the high level design of legacy software systems based on pattern matching and user defined architectural patterns. Architectural patterns are represented using a description language that is mapped to an attributed relational graph and allows to specify the legacy system components and their data and control flow interactions. Such pattern descriptions are viewed as queries that are applied against an entity-relation graph that represents information extracted from the source code of the software system. A multi-phase branch and bound search algorithm with a forward checking mechanism controls the matching process of the two graphs by which, the query is satisfied and its variables are instantiated. An association based scoring mechanism is used to rank the alternative results generated by the matching process. Experimental results of applying the technique on the Xfig system are also presented
Keywords :
computational complexity; data mining; pattern matching; software architecture; software maintenance; tree searching; Xfig system; association based scoring mechanism; attributed relational graph; data control flow interactions; entity-relation graph; forward checking mechanism; graph pattern matching approach; high level design; legacy software systems; multi-phase branch and bound search algorithm; software architecture recovery; source code; user defined architectural patterns; Application software; Computer science; Control systems; Data mining; Databases; Design engineering; Engines; Pattern matching; Software architecture; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 2001. Proceedings. IEEE International Conference on
Conference_Location :
Florence
ISSN :
1063-6773
Print_ISBN :
0-7695-1189-9
Type :
conf
DOI :
10.1109/ICSM.2001.972754
Filename :
972754
Link To Document :
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