MODELS 2024
Sun 22 - Fri 27 September 2024 Linz, Austria
Wed 25 Sep 2024 14:42 - 15:00 at HS 7 - Applications (1) Chair(s): Nelly Bencomo

Datalog is a logic-based query-language used for knowledge representation and reasoning. Through the years, the literature has defined highly valuable algorithms, desirable properties, and useful transformations for this language and its extensions (e.g. Datalog+/-).

However, few to none tools facilitate the implementation of such results, making the existence of mature Datalog-based tools scarce.

This demonstration presents IMP-Logics, a Java library that offers a metamodel for Datalog and its extensions Datalog+/- that will allow researchers to easily implement the algorithms and demonstrations of the properties and transformations the community is working on.

Wed 25 Sep

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:00 - 15:45
Applications (1)Tools and Demonstrations / Technical Track at HS 7
Chair(s): Nelly Bencomo Durham University
14:00
18m
Talk
Meta-Modelling KindnessFT
Technical Track
Faeq Alrimawi Lero - the Science Foundation Ireland Research Centre for Software, Bashar Nuseibeh The Open University, UK
14:21
18m
Talk
Mutation Testing of Java Bytecode: A Model-Driven ApproachPT
Technical Track
14:42
18m
Talk
IMP-Logics: a metamodel for analysis and transformations of Datalog programs
Tools and Demonstrations
José Francisco Crespo Universitat Politècnica de Catalunya, Martí Juanola I Ametller Universitat Politècnica de Catalunya, Xavier Oriol Universitat Politècnica de Catalunya, Martí Recalde Universitat Politècnica de Catalunya, Ernest Teniente Universitat Politècnica de Catalunya, Spain
15:03
18m
Talk
Concretize: A Model-Driven Tool for Scenario-Based Autonomous Vehicle Testing
Tools and Demonstrations
Jerry Hou-Liu McGill University, Zhekai Jiang EPFL / McGill University, Aren Babikian McGill University
Link to publication DOI
15:24
12m
Talk
Towards Automated Test Scenario Generation for Assuring COLREGs Compliance of Autonomous Surface VehiclesFTVISION
Technical Track
Ulf Kargén , Daniel Varro Linköping University / McGill University