Grand challenges in model-driven engineering: an analysis of the state of the research
In 2017 and 2018, two events were held—in Marburg, Germany, and San Vigilio di
Marebbe, Italy, respectively—focusing on an analysis of the state of research, state of …
Marebbe, Italy, respectively—focusing on an analysis of the state of research, state of …
[图书][B] Model-based engineering of collaborative embedded systems: Extensions of the spes methodology
This Open Access book presents the results of the" Collaborative Embedded
Systems"(CrESt) project, aimed at adapting and complementing the methodology underlying …
Systems"(CrESt) project, aimed at adapting and complementing the methodology underlying …
Artefacts in software engineering: a fundamental positioning
D Méndez Fernández, W Böhm, A Vogelsang… - Software & Systems …, 2019 - Springer
Artefacts play a vital role in software and systems development processes. Other terms like
documents, deliverables, or work products are widely used in software development …
documents, deliverables, or work products are widely used in software development …
Artifact and reference models for generative machine learning frameworks and build systems
Machine learning is a discipline which has become ubiquitous in the last few years. While
the research of machine learning algorithms is very active and continues to reveal …
the research of machine learning algorithms is very active and continues to reveal …
Architecture and behavior modeling of cyber-physical systems with MontiArcAutomaton
This book presents MontiArcAutomaton, a modeling language for architecture and be-havior
modeling of Cyber-Physical Systems as interactive Component & Connector mod-els …
modeling of Cyber-Physical Systems as interactive Component & Connector mod-els …
Emmm: A unified meta-model for tracking machine learning experiments
Traditional software engineering tools for managing assets—specifically, version control
systems—are inadequate to manage the variety of asset types used in machine-learning …
systems—are inadequate to manage the variety of asset types used in machine-learning …
[PDF][PDF] A methodology for retrofitting generative aspects in existing applications
Using model-based approaches and code synthesis to engineer information systems
improves agile application development and evolution. However, current research lacks …
improves agile application development and evolution. However, current research lacks …
[图书][B] Artifact-Based Analysis for the Development of Collaborative Embedded Systems
S Hillemacher, N Jäckel, C Kugler, P Orth… - 2021 - Springer
One of the major challenges of heterogeneous tool environments is the management of
different artifacts and their relationships. Artifacts can be interdependent in many ways, but …
different artifacts and their relationships. Artifacts can be interdependent in many ways, but …
[图书][B] Language engineering for heterogeneous collaborative embedded systems
A Butting, A Wortmann - 2021 - Springer
At the core of model-driven development (MDD) of collaborative embedded systems (CESs)
are models that realize the different participating stakeholders' views of the systems. For …
are models that realize the different participating stakeholders' views of the systems. For …
[PDF][PDF] Combinatorial robustness testing based on error-constraints
K Fögen - 2021 - publications.rwth-aachen.de
Robustness is an important property of a software, which must be tested in addition to a
software's functionality. This requires invalid values and invalid value combinations to be …
software's functionality. This requires invalid values and invalid value combinations to be …