FASSI 2019, The Fifth International Conference on Fundamentals and Advances in Software Systems Integration

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Type: conference

Notes: IARIA Conference.

Editors:
Mihaela Iridon, Candea LLC, USA
Chris Ireland, Open University, UK

ISSN: 2519-8475

ISBN: 978-1-61208-750-4

Location: Nice, France

Dates: from October 27, 2019 to October 31, 2019

Articles: there are 7 articles

Design Model of a Training Simulator in Virtual Reality
Igor Petukhov, Liudmila Steshina, Andrey Glazyrin, and Dimiter Velev
keywords: virtual reality; virtual environment; human-computer interaction; training simulator; virtual subjectivities; user-centered design; design framework component

Mixed-Paradigm Framework for Model-Based Systems Engineering
Philipp Helle, Stefan Richter, Gerrit Schramm, and Andreas Zindel
keywords: model-based systems engineering; microservices; REST

JeroMF: A Software Development Framework for Building Distributed Applications Based on Microservices and JeroMQ
Aditi Jain and Stephen Clyde
keywords: Microservices; Distributed Applications; Software Development Frameworks

Automata-Based Timed Event Program Comprehension for Real-Time Systems
Aziz Fellah and Ajay Bandi
keywords: Program comprehension; program understanding; software modeling; real-time systems; embedded systems; IoT; timed event automata.

Limitations of Using Digital BIM Models to Carry out Thermal Analysis
Anabelle Rahhal, Coralie Matthys, Samia Ben Rajeb, and Pierre Leclercq
keywords: Building Information Modeling (BIM); energy analysis; building data modeling and understanding; reverse engineering.

Industry Case Study: Design Antipatterns in Actual Implementations. Understanding and Correcting Common Integration Design Oversights.
Mihaela Iridon
keywords: integration models; design antipatterns; leaky abstractions; database management

Data Science as a Service - Prototyping for an Enterprise Self-Service Platform for Reproducible Research
Steve Guhr, Jan-Hendrik Martenson, Hans Laser, Jannes Gless, Detlef Amendt, Benjamin Schantze, and Svetlana Gerbel
keywords: Data Science as a Service; reproducible research; enterprise information technology; self-services; cloud infrastructure data science platform.