creator | Porrmann, Alexander |
date | 2000-10-31 |
description | 71 pages |
One aspect of reverse engineering is to identify components of software systems. Some of the more recent approaches to component recovery are based on a mathematical technique called concept analysis. This thesis evaluates four approaches to component recovery using concept analysis. The approaches were implemented and evaluated using benchmarks for component recovery techniques. Quantitative data for recall and precision of these techniques are compared to other more traditional component recovery techniques. Omissions in the description of these techniques in the original papers had to be resolved. | |
format | application/postscript |
641446 Bytes |
identifier | http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=DIP-1855&engl=1 |
language | eng |
publisher | Stuttgart, Germany, Universität Stuttgart |
relation | Diploma Thesis No. 1855 |
source | ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-1855/DIP-1855.ps |
subject | Software Engineering Distribution, Maintenance, and Enhancement (CR D.2.7) |
Symbolic and Algebraic Manipulation Algorithms (CR I.1.2) | |
Installation Management (CR K.6.2) | |
Begriffsanalyse | |
concept analysis | |
concept lattice | |
Bauhaus | |
title | Komponentenerkennung durch Begriffsanalyse |
type | Text |
Diploma Thesis |