DocumentCode
2325580
Title
Parameterized shift-and string matching algorithm using super alphabet
Author
Prasad, Rajesh ; Agarwal, Suneeta
Author_Institution
Motilal Nehru Nat. Inst. of Technol., Allahabad
fYear
2008
fDate
13-15 May 2008
Firstpage
937
Lastpage
942
Abstract
In the parameterized string matching, a given pattern P is said to match with a sub-string t of the text T, if there exist a bijection from the symbols of P to the symbols of t. This problem has an important application in software maintenance where it is required to find equivalency between two sections of codes. Two sections of codes are said to be equivalent if one can be transformed into the other by renaming identifiers and variables only. In this paper, we extend shift-and string matching algorithm to find all such occurrences of P in T. The new algorithm is named as parameterized shift-and (PSA) string matching algorithm. We further extend PSA by using the concept of super alphabets. Implementation results show that by using a super alphabet of size s, the algorithm (PSA) is speeded-up by a factor of s, where s is size of the super alphabet (i.e. s is the number of characters processed simultaneously). We also show the performance of super alphabet PSA with respect to duplicity present in the code. However these algorithms are applicable only when pattern length (m) is less than or equal to word length (w) of computer used (i.e. m les w).
Keywords
software maintenance; string matching; PSA; parameterized shift-and string matching algorithm; pattern length; shift-and string matching algorithm; software maintenance; super alphabet; word length; Application software; Automata; Encoding; Parallel processing; Pattern matching; Plagiarism; Software maintenance; Algorithm; bitparallelism; finite automata; parameterized matching; prev-encoding; shift-and;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-1691-2
Electronic_ISBN
978-1-4244-1692-9
Type
conf
DOI
10.1109/ICCCE.2008.4580744
Filename
4580744
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