Anna Stramaglia: Simplifying process parameters of unfolding algebraic data types
Complex abstract data types are often used to facilitate creating concise models of the behavior of realistic systems. However, static analysis techniques that aim to optimize such models often consider variables of complex types as a single indivisible unit. The use of complex data types thus negatively affects the optimizations that can be performed. To …continue reading
Sky Sarah van Grieken: Replicating Experiments and Improving Algorithms for Exact DFA Identification
In process mining, grammatical inference is used to extract information from large amounts of data. One problem in grammatical inference is exact DFA identification: finding a smallest DFA that accepts and rejects given words. Empirical experiments are used to compare new algorithms with the state of the art for exact DFA identification. To investigate to …continue reading