Identifying shared functionality using latent semantic indexing

Master thesis (2008)

Authors

Contributors

H.G. Gross (mentor)
J. Gerbrandy (mentor)
Faculty
Electrical Engineering, Mathematics and Computer Science (EEMCS) (TU Delft)
More Info
expand_more

Published Date

04-09-2008

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

There are numerous systems of which parts, at least in the minds of designers, have the same functionality. If the degree of this shared functionality can be measured some how, it would prove to be very valuable. This information can be used to modularize these systems and improve their maintainability. To identify this functionality a technique known as Latent Semantic Indexing (LSI), an information retrieval technique, is proposed. We applied LSI to two systems at Getronics PinkRoccade. Our main conclusion is that we can not recover 100% of the shared functionality automatically, however, the search space can be reduced. This means the experts, recovering the shared functionality, have less documents to evaluate.