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Aspect mining algorithm development: Conceptual foundation, tool support, and algorithms 1 edition

Aspect mining algorithm development: Conceptual foundation, tool supp ...
Taimur Javed

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Aspect mining algorithm development: Conceptual foundation, tool support, and algorithms.

Published 2006 .
Written in English.

About the Book

Aspect mining algorithm development is a field that is slowly starting to gain more interest in the general Aspect Oriented Programming (AOP) community. However, it is a field that suffers from many limitations stemming from the fact that the definition of an aspect is very abstract. Due to this, the researchers working in the field have not had a solid algorithm development or evaluation methodology. This has led to a lack of collection direction, and it has made it exceedingly difficult for new researchers entering the field to decide how to proceed. The lack of a concrete evaluation methodology makes it impossible to judge what are promising research directions to pursue for developing aspect mining algorithms.In this thesis, we have proposed a concrete algorithm development and evaluation methodology based on the context that aspect mining algorithms will be used in. We have proposed a new evaluation metric, the Relative Uncertainty metric, which allows us to compare different algorithms developed for aspect mining. We have developed an aspect mining tool, Quantum, which can be used as a development platform for creating new aspect mining algorithms. We have used Quantum for the development of 8 aspect mining algorithms, and we have presented a detailed evaluation of these algorithms. The results illuminate promising directions for the development of aspect mining algorithms.

Edition Notes

Source: Masters Abstracts International, Volume: 44-06, page: 2916.

Advisor: H.-Arno Jacobsen.

Thesis (M.A.Sc.)--University of Toronto, 2006.

Electronic version licensed for access by U. of T. users.

ROBARTS MICROTEXT copy on microfiche.

The Physical Object

Pagination
87 leaves.
Number of pages
87

ID Numbers

Open Library
OL19215633M
ISBN 13
9780494163351

History Created December 11, 2009 · 2 revisions Download catalog record: RDF / JSON

January 24, 2010 Edited by WorkBot add more information to works
December 11, 2009 Created by WorkBot add works page