Event Category: MSc Defence

OIL is a domain-specific language under development at OcĂ© for specifying, analysing, and implementing software components. OIL is to have IDE support, transformations to formal modelling languages for requirement verification, and code generation towards general-purpose languages such as C++. Model-based testing is an approach to test whether the behaviour of an implementation conforms to the …continue reading

SPL verification can be costly when all the software products of an SPL are verified independently. It is well known that parity games can be used to verify software products. We propose a generalization of parity games, named variability parity games (VPGs), that encode multiple parity games in a single game graph decorated with edge …continue reading

First order inductive theorem proving deals with proving new equations based on a given set of equations. More specifically, we are interested in proving that the axioms logically imply the goals. In this presentation I will discuss how we can automate these proofs by induction. The equations can either describe finite or infinite terms. In …continue reading

Johri van Eerd will present his master thesis research on Monday August 26 at 15:00 in Atlas 2.215. His presentation addresses the question on whether term rewriting on GPUs is competitive compared to term rewriting on CPUs.

Formal system verification is a mathematical technique for establishing whether a process meets certain design requirements. Typically, such techniques require notation in academic languages which are difficult for engineers to write and interpret. We aim to develop a new DSL for formalizing requirements that dramatically lowers the barrier of entry by introducing notation and concepts …continue reading

As technology progresses, newer, and more complex, solutions are employed to verify that rail signalling systems are safe. Formal methods provide ways to increase rigour in the verification process. This precision, accompanied by the ongoing increase of computational power of computers, also opens up ways to partially automate parts of the verification process. We present …continue reading

The topic of the thesis is find out whether the LS* learning algorithm, that can learn register automata with abstract data parameters from actual software is practically applicable in an industrial context. The algorithm can for instance learn a queue with limited size that stores arbitrary natural numbers. The conclusion is that indeed practical software …continue reading