Abstract:
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The software quality control is one of the main topics in the Software
Engineering area. To put the effort in the quality control during the
specification phase leads us to detect possible mistakes in an early
steps and, easily, to correct them before the design and implementation
steps start. In this framework the goal of SAREL system, a
knowledge-based system, is twofold. On one hand, to help software
engineers in the creation of quality Software Requirements
Specifications. On the other hand, to analyze the correspondence between
two different conceptual representations associated with two different
Software Requirements Specification documents.
For the first goal, a set of NLP and Knowledge management tools is
applied to obtain a conceptual representation that can be validated and
managed by the software engineer.
For the second goal we have established some correspondence measures in
order to get a comparison between two conceptual representations. This
information will be useful during the interaction. |