PACAS members F. Başak Aydemir and Fabiano Dalpiaz presented the intelligent cross-view alignment method developed for the PACAS platform at the 2017 edition of the Model Driven Requirements Engineering Workshop (MoDRE’17) that is co-located with the 25th IEEE International Requirements Engineering Conference (RE 2017).
PACAS at the MoDRE 2017 Workshop
The paper presents the architecture and the inner workings of a web service that supports modelers in collaborative, multi-concern modelling settings.
The service extracts and analyzes the natural language text from models, and provides suggestions to the modellers based on what has been modelled in the other models included in the same project.
The motivation of the work comes from the change management processes in European air traffic management, where experts with different expertise from different countries collaborate with each other in order to analyze solution proposals from different aspects, such as safety and security, in order to make the best decision among different solution candidates. The main goal of the service is to support alignment in such settings, that is, to help modellers cover similar, if not the same concepts from the domain.
The presentation provoked a lively discussion within the audience. The audience suggested that the same approach can be applied to software development processes to manage models produced during the model-driven development. Possibilities for future work such as the application of advanced natural language processing libraries to improve the analysis of the natural language text extracted from the models were also discussed.