Abstract
The Dowser ClassExtractor is an implementation of the following Master
project. In this project an approach is developed to detect ambiguities
in natural language specifications. In detail, the master project
answered two research questions. Can an object oriented analysis model,
which is created automatically, help to increase the quality of
requirements specifications? Can automation help detecting ambiguities?
The project was motivated by today's industry practices. In industry
most software analysts write requirements specifications in natural
language. This approach enhances the communication between all
stakeholders, because everyone can understand clearly written natural
language text. However, the downside is that natural language
specifications are often imprecise and ambiguous. For our approach we
want to exploit that a software tool can faster scan, search, browse,
and tag huge text documents than a human. Furthermore, an automated
approach works rigorously whereas a human can overlook mistakes in
documents, since he assumes that they are correct and that only one
interpretation exists.
The developed approach uses syntactical knowledge to build the object
oriented analysis model. The Dowser ClassExtractor applies syntactical
rules on the created dependencies of a link grammar parser. These rules
define how to extract classes, associations and methods. The final
result is a UML class diagram. Since the produced diagram is smaller
than the original specification and clearly visualized, it enhances
cognition and a human can check it for ambiguities. The defects can be
traced back to the original specification.
The Team
Content
Download
The binary and the source code of the Dowser
ClassExtractor V1.0 can be downloaded.
Click here to download the latest Dowser GUI
Required External Software
The Dowser ClassExtractor uses different external third party software
systems.
For parsing the natural language specification, the tool uses Slator's
and Temperley's Link
Grammar Parser. This parser provides the syntactic informations, WordNet provides the stem of
a word. Additionaly it is planned for future version, that the Dowser
ClassExtractor will use the semantic information of WordNet.
UMLGraph
provides the graphical transformation. The tool UMLGraph allows the
declarative specification and drawing of UML class diagrams. For this,
it uses javadoc and GraphViz.
The next graph shows how all the tools form the architecture of the
Dowser ClassExtractor.
Last Modified on Thursday, December 15,
2005 by Daniel Popescu
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