Abstract
Today, CASE (Computer Aided Software Engineering) tools functionalities give some help in data and process description (mainly in managing the results of analysis). They do not help with efficiency in analysis and design process. Our model brings some aid in O.M.T. (Object Modelling Techniques from Rumbaugh) modelling processing.
AMI uses: Model examples (schema) base, Pattern examples (generic modelling structures of business area) and Generic business area knowledge. AMI allows software analyst or designer both to refine description concepts which is a schema part beeing in progress, and to extend concepts by interpretation of a business area words lattice. AMI implementation uses an A.I. technique: CaseBased-Reasoning (CBR). CBR is very interesting by increasing ability in reasoning activity. In CBR system searches of cases are mainly based on terminology indexing. Indexation system does not allow sufficiently semantical expression. In our area we need more. So we choose for AMI a conceptual graph. In fact, subsumption links and matching possibilities between conceptual graphs allow us to compare different abstraction levels and to realize selective searches for graph verifying some properties.
Today, the implementation of this tool with Smalltalk-80 and its environment VisualWorks is in progress.
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Keywords
- Software, Software Engineering, Requirements Specifications
- Tools and Techniques
- Computing Methodologies, Artificial Intelligence, Knowledge Representation
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Lasoudris, L., Maurice-Demourioux, M., Voyer, R. (1995). AMI: A Case Tool based on Artificial Intelligence Techniques for an Interactive Modelling for Analysis. In: Lee, M., Barta, BZ., Juliff, P. (eds) Software Quality and Productivity. IFIP Advances in Information and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34848-3_17
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DOI: https://doi.org/10.1007/978-0-387-34848-3_17
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