Ada reusable software components for teaching distributed systems

2005 ◽  
pp. 77-96
Author(s):  
Yvon Kermarrec ◽  
Laurent Pautet
Keyword(s):  
Distributed Systems ◽  
Software Components ◽  
Reusable Software

Reusable software components

2002 ◽  
Vol XXII (3) ◽  
pp. 20-23
Author(s):  
Trudy Levine
Keyword(s):  
Software Components ◽  
Reusable Software

Reusable software components

1993 ◽  
Vol XIII (1) ◽  
pp. 60-62
Author(s):  
Trudy Levine
Keyword(s):  
Software Components ◽  
Reusable Software

Reusable software components

2004 ◽  
Vol XXIV (3) ◽  
pp. 47-48
Author(s):  
Trudy Levine
Keyword(s):  
Software Components ◽  
Reusable Software

Reusable software components

1994 ◽  
Vol XIV (6) ◽  
pp. 41-52 ◽  
Author(s):  
Trudy Levine
Keyword(s):  
Software Components ◽  
Reusable Software

Reusable software components

2000 ◽  
Vol XX (2) ◽  
pp. 27-37
Author(s):  
Trudy Levine
Keyword(s):  
Software Components ◽  
Reusable Software

Reusable software components

2005 ◽  
Vol XXV (2) ◽  
pp. 45-53
Author(s):  
Trudy Levine
Keyword(s):  
Software Components ◽  
Reusable Software

NEURO-FUZZY BASED SEARCH ROBOT FOR SOFTWARE COMPONENTS

1999 ◽  
Vol 08 (02) ◽  
pp. 119-135
Author(s):  
YAU-HWANG KUO ◽  
JANG-PONG HSU ◽  
MONG-FONG HORNG
Keyword(s):  
Retrieval System ◽  
Software Component ◽  
Software Components ◽  
Personalized Search ◽  
Component Retrieval ◽  
Reusable Software ◽  
Major Mechanism ◽  
Fuzzy Models ◽  
Neuro Fuzzy

A personalized search robot is developed as one major mechanism of a personalized software component retrieval system. This search robot automatically finds out the Web servers providing reusable software components, extracts needed software components from servers, classifies the extracted components, and finally establishes their indexing information for local component retrieval in the future. For adaptively tuning the performance of software component extraction and classification, an adaptive thesaurus and an adaptive classifier, realized by neuro-fuzzy models, are embedded in this search robot, and their learning algorithms are also developed. A prototype of the personalized software component retrieval system including the search robot has been implemented to confirm its validity and evaluate the performance. Furthermore, the framework of proposed personalized search robot could be extended to the search and classification of other kinds of Internet documents.

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