Software for evaluating the quality of synthetic data compared with real data.
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Updated
Feb 13, 2026 - Python
Software for evaluating the quality of synthetic data compared with real data.
B-OCL is a tool designed to parse and evaluate the OCL constraints designed on BESSER models. It is a python based implementation that utilises a parser and listener generated via an ANTLR4 grammar.
A trade assessment scale based on Nancy Leveson's Software Assessment Scale
This project aims to research and construct a method for evaluating the coverage of a systematic multi-agent system (MAS) test, and to establish a test evaluation index system suitable for different application scenarios.
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