Towards Grammatical Inference of Legacy Programming Languages

Grammatical inference is a technique that can help with the (re)implementation of language tools for abandoned or nearly abandoned languages. This thesis delves into the grammatical inference of fourth generation languages (4GLs). Languages in this language class were widely popular and hyped throughout the 1980s and were used to build parts of business-critical systems that organisations still rely on today. Methods of obtaining positive and negative language samples required for the inference process have been laid out, and a prototype genetic algorithm for grammatical inference of legacy languages has been implemented.