DocumentCode :
3011303
Title :
Improving Retrieval Effectiveness Using Ant Colony Optimization
Author :
Khode, Sandeep G. ; Bhatia, Rajesh
Author_Institution :
Dept. of Comput. Sci. & Eng., Thapar Univ., Patiala, India
fYear :
2009
fDate :
28-29 Dec. 2009
Firstpage :
737
Lastpage :
741
Abstract :
Software reuse is only effective if it is easier to locate and appropriately modify a reusable component than to write it from scratch. It is the use of existing software knowledge or artifacts also known as software components to build new software. There are two main problems in software reuse. First, classifying software modules in a component library is a major problem in software reuse. Second, identifying appropriate software components in a library or software component retrieval is an important task in software reuse: after all, components must be found before they can be reused. Many researchers have proposed various techniques to search and retrieve components. Proposed technique helps re-user to identify and retrieve software component. In its first step it matches keywords, their synonyms and their interrelationships. And then makes use of ant colony optimization, a probabilistic approach to generate rule for matching the component against the re-user query.
Keywords :
optimisation; query processing; software reusability; ant colony optimization; re-user query; retrieval effectiveness; software component retrieval; software reuse; Ant colony optimization; Application software; Appropriate technology; Computer science; Maintenance engineering; Software libraries; Software quality; Software systems; Telecommunication computing; Telecommunication control; Ant Colony Optimization; Component Retrieval; Software reuse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
Conference_Location :
Trivandrum, Kerala
Print_ISBN :
978-1-4244-5321-4
Electronic_ISBN :
978-0-7695-3915-7
Type :
conf
DOI :
10.1109/ACT.2009.187
Filename :
5375839
Link To Document :
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