Asset Management in Machine Learning: State-of-research and State-of-practice
Machine learning components are essential for today's software systems, causing a need to
adapt traditional software engineering practices when developing machine-learning-based …
adapt traditional software engineering practices when developing machine-learning-based …
Systematic mapping study on domain-specific language development tools
Abstract Domain-specific languages (DSL) are programming or modeling languages
devoted to a given application domain. There are many tools used to support the …
devoted to a given application domain. There are many tools used to support the …
[HTML][HTML] Model-driven engineering: A survey supported by the unified conceptual model
AR Da Silva - Computer Languages, Systems & Structures, 2015 - Elsevier
During the last decade a new trend of approaches has emerged, which considers models
not just documentation artefacts, but also central artefacts in the software engineering field …
not just documentation artefacts, but also central artefacts in the software engineering field …
Evaluating and comparing language workbenches: Existing results and benchmarks for the future
Abstract Language workbenches are environments for simplifying the creation and use of
computer languages. The annual Language Workbench Challenge (LWC) was launched in …
computer languages. The annual Language Workbench Challenge (LWC) was launched in …
Melange: A meta-language for modular and reusable development of dsls
Domain-Specific Languages (DSLs) are now developed for a wide variety of domains to
address specific concerns in the development of complex systems. When engineering new …
address specific concerns in the development of complex systems. When engineering new …
Montithings: Model-driven development and deployment of reliable iot applications
JC Kirchhof, B Rumpe, D Schmalzing… - Journal of Systems and …, 2022 - Elsevier
Abstract Internet of Things (IoT) applications are exposed to harsh conditions due to factors
such as device failure, network problems, or implausible sensor values. We investigate how …
such as device failure, network problems, or implausible sensor values. We investigate how …
Self-adaptive manufacturing with digital twins
T Bolender, G Bürvenich, M Dalibor… - … for adaptive and self …, 2021 - ieeexplore.ieee.org
Digital Twins are part of the vision of Industry 4.0 to represent, control, predict, and optimize
the behavior of Cyber-Physical Production Systems (CPPSs). These CPPSs are long-living …
the behavior of Cyber-Physical Production Systems (CPPSs). These CPPSs are long-living …
Collaborative Model-Driven Software Engineering—A systematic survey of practices and needs in industry
The engineering of modern software-intensive systems is carried out in collaboration among
stakeholders with specialized expertise. The complexity of such systems often also …
stakeholders with specialized expertise. The complexity of such systems often also …
Facing the truth: benchmarking the techniques for the evolution of variant-rich systems
The evolution of variant-rich systems is a challenging task. To support developers, the
research community has proposed a range of different techniques over the last decades …
research community has proposed a range of different techniques over the last decades …
Leveraging software product lines engineering in the development of external dsls: A systematic literature review
The use of domain-specific languages (DSLs) has become a successful technique in the
development of complex systems. Consequently, nowadays we can find a large variety of …
development of complex systems. Consequently, nowadays we can find a large variety of …