Analogical retrieval in reuse-oriented requirements engineering

Abstract

Computational mechanisms are presented for analogical retrieval of domain knowledge as a basis for intelligent tool-based assistance for requirements engineers. A first mechanism, called the domain matcher, retrieves object system models which describe key features for new problems. A second mechanism, called the problem classifier, reasons with analogical mappings inferred by the domain matcher to detect potential incompleteness, overspecification and inconsistencies in entered facts and requirements. Both mechanisms are embedded in AIR, a toolkit that provides co-operative reuse-oriented assistance for requirements engineers.