Framework para el Desarrollo de Software mediante Modularización Avanzada. 2da. Etapa

Permanent URI for this collection

Browse

Recent Submissions

Now showing 1 - 2 of 2
  • Item
    Exploring parallel formal verification of BIG-DATA systems
    (Universidad de Palermo, 2021) Asteasuain, Fernando ; Rodríguez Caldeira, Luciana
    Software Engineering is trying to adapt its tools, mechanisms and techniques to cope with the challenges involved when developing BIG DATA software systems. In particular, formal verification in one of the areas that more urgently is required to step in. In this work we introduce two crucial aspects aiming to adapt FVS to cope with BIG Data requirements. For one side, FVS’s parallel algorithm is proved to be sound and correct. For the other side, we developed a compelling empirical validation of our approach, employing a communication protocol relevant in the industrial world within a context of parallel systems, introducing a load-balancer process and comparing several implementations.
  • Item
    Open and branching behavioral synthesis with scenario clauses
    (Latin-american Center for Informatics Studies (CLEI), 2021-12-20) Asteasuain, Fernando ; Gamboa, Pablo Daniel ; Calonge, Federico ; Dubinsky, Manuel
    The Software Engineering community has identi_ed behavioral speci_cation as one of the main challenges to be addressed for the transference of formal veri_cation techniques such as model checking. In particular, expressivity of the speci_cation language is a key factor, especially when dealing with Open Systems and controllability of events and branching time behavior reasoning. In this work, we propose the Feather Weight Visual Scenarios (FVS) language as an appealing declarative and formal veri_cation tool to specify and synthesize the expected behavior of systems. FVS can express linear and branching properties in closed and Open systems. The validity of our approach is proved by employing FVS in complex, complete, and industrial relevant case studies, showing the exibility and expressive power of FVS, which constitute the crucial features that distinguish our approach.