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Context Robots are playing key roles in many social and industrial applications such as in hospitals, automation in automotive domains, etc. Digital twins , i.e, live and digital representations of a physical twin such as robots, promise to significantly improve their reliability, helping them in making optimized decisions in real-time and predict future activities such as predictive maintenance.
Context A broad spectrum of application domains are increasingly making use of heterogeneous and large volumes of data with varying degrees of humans in the loop. The recent success of Artificial Intelligence (AI) and, in particular, Machine Learning (ML) further amplifies the relevance of data in the development, maintenance, evolution, and execution management of systems.
Context and objectives Integrated Development Environments (IDEs) are indispensable companions to programming languages. They are increasingly turning towards Web-based infrastructure. The rise of protocols such as the Language Server Protocol (LSP) that standardize the separation between a language-agnostic IDE, and a language server that provides all language services (e.
Context The design of complex cyber-physical systems (e.g., industry 5.0) involves various heterogeneous stakeholders (e.g., software engineers, computer and system engineers, mechanical engineers, physicists), all bringing their own expertise to the system, and for this using their own tools and methods.
Context To cope with the ever-growing number of programming languages, manufacturers of Integrated Development Environments (IDE) have recently defined protocols as a way to use and share multiple language services (e.
Context “Software is eating the world!” , with massive digitalization of entire business markets (e.g., travel/music/video/photo/book industry…) and the development of cyber-physical systems (CPS) which assist citizens and companies in their daily life and businesses (e.
Context Scientific software is often designed in the form of a process including data preprocessing, simulation code, and data postprocessing. In the current state of the practices, this process is either split in several modules put together in an explicit data-flow process, or tightly coupled in a single program.
Context More and more domains require functionalities of products to be tailored to the precise needs/context of deployments/installations, or even to the evolutions of the environments of the deployed products during their whole lifetime.
Context The evolution of software engineering discipline has seen the emergence of a multitude of programming languages (PL), each dedicated to a particular application concern. Nowadays, complex software development often involves more than a single language for the implementation, referred to as polyglot programming.