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

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    An expressive and enriched specification language to synthezise behavior in BIG DATA systems
    (Universidad Nacional de Salta, 2021) Asteasuain, Fernando ; Rodríguez Caldeira, Luciana
    In this work we extend our behavioral speci_cation and controller synthesis framework FVS to deal with BIG DATA requirements. For one side, we enriched FVS expressive power by exhibiting how our language can handle uents and partial speci_cations. For the other side, we combined FVS with a parallel model checker in order to automatically obtain a controller given the behavior speci_cation. In this way, FVS can be presented as an attractive tool to formally verify and synthesize behavior for BIG DATA systems. Our approach is compared to other well known parallel tool analyzing a complex big data system.
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    Controller synthesis for IoT protocols verification
    (Universidad Tecnológica Nacional, 2021-11) Asteasuain, Fernando
    Almost every modern device or artifact can now send and/or receive information and data. This hyper connected modern era is commonly denominated Internet of Things (IoT). Software Engineering tools and techniques must be adapted to manage the new challenges and requirements that the emergent paradigm of IoT imposes, especially regarding to communications, interactions and protocols between those artifacts. In this work we focus on a very well known formal technique called Controller Synthesis, which features interesting characteristics to formally verify IoT systems. In particular, we specified and synthesized the behavior of a key protocol for IoT, the MQQT protocol, employing the FVS formal verification framework.
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    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.
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    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.