Grand challenges in model-driven engineering: an analysis of the state of the research

A Bucchiarone, J Cabot, RF Paige… - Software and Systems …, 2020 - Springer
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 …

[图书][B] Model-based engineering of collaborative embedded systems: Extensions of the spes methodology

W Böhm, M Broy, C Klein, K Pohl, B Rumpe, S Schröck - 2021 - library.oapen.org
This Open Access book presents the results of the" Collaborative Embedded
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 …

Artifact and reference models for generative machine learning frameworks and build systems

A Atouani, JC Kirchhof, E Kusmenko… - Proceedings of the 20th …, 2021 - dl.acm.org
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 …

Architecture and behavior modeling of cyber-physical systems with MontiArcAutomaton

JO Ringert, B Rumpe, A Wortmann - arXiv preprint arXiv:1509.04505, 2015 - arxiv.org
This book presents MontiArcAutomaton, a modeling language for architecture and be-havior
modeling of Cyber-Physical Systems as interactive Component & Connector mod-els …

Emmm: A unified meta-model for tracking machine learning experiments

S Idowu, D Strüber, T Berger - 2022 48th Euromicro …, 2022 - ieeexplore.ieee.org
Traditional software engineering tools for managing assets—specifically, version control
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

I Drave, A Gerasimov, J Michael, L Netz… - Journal of Object …, 2021 - se-rwth.de
Using model-based approaches and code synthesis to engineer information systems
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 …

[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 …

[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 …