Zobrazeno 1 - 10
of 342
pro vyhledávání: '"Schmid, Klaus"'
Autor:
Faubel, Leonhard, Schmid, Klaus
As Machine Learning (ML) becomes more prevalent in Industry 4.0, there is a growing need to understand how systematic approaches to bringing ML into production can be practically implemented in industrial environments. Here, MLOps comes into play. ML
Externí odkaz:
http://arxiv.org/abs/2407.09107
Autor:
Effenberg, Florian, Schmid, Klaus, Nespoli, Federico, Bortolon, Alessandro, Feng, Yühe, Grierson, Brian A., Lore, Jeremy D., Maingi, Rajesh, Rudakov, Dmitry L.
An integrated modeling framework for investigating the application of solid boron powder injection for real-time surface conditioning of plasma-facing components in tokamak environments is presented. Utilizing the DIII-D impurity powder dropper setup
Externí odkaz:
http://arxiv.org/abs/2407.00821
Context: Cultural aspects are of high importance as they guide people's behaviour and thus, influence how people apply methods and act in projects. In recent years, software engineering research emphasized the need to analyze the challenges of specif
Externí odkaz:
http://arxiv.org/abs/2404.17009
Software product line techniques encourage the reuse and adaptation of software components for creating customized products or software systems. These different product variants have commonalities and differences, which are managed by variability mod
Externí odkaz:
http://arxiv.org/abs/2403.01952
Autor:
Faubel, Leonhard, Woudsma, Thomas, Methnani, Leila, Ghezeljhemeidan, Amir Ghorbani, Buelow, Fabian, Schmid, Klaus, van Driel, Willem D., Kloepper, Benjamin, Theodorou, Andreas, Nosratinia, Mohsen, Bång, Magnus
Machine learning (ML) has become a popular tool in the industrial sector as it helps to improve operations, increase efficiency, and reduce costs. However, deploying and managing ML models in production environments can be complex. This is where Mach
Externí odkaz:
http://arxiv.org/abs/2309.12756
Agile methods are well-known approaches in software development and used in various settings, which may vary wrt. organizational size, culture, or industrial sector. One important facet for the successful use of agile methods is the strong focus on s
Externí odkaz:
http://arxiv.org/abs/2302.11809
Publikováno v:
ter Beek M., Fantechi A., Semini L. (eds) From Software Engineering to Formal Methods and Tools, and Back. Lecture Notes in Computer Science, vol 11865, 2019, pages 67-82
Experimentation with software prototypes plays a fundamental role in software engineering research. In contrast to many other scientific disciplines, however, explicit support for this key activity in software engineering is relatively small. While s
Externí odkaz:
http://arxiv.org/abs/2110.12937
Publikováno v:
Proceedings of the 22nd International Systems and Software Product Line Conference (SPLC '18) - Volume 2, 2018, pages 5-10
KernelHaven is an open infrastructure for Software Product Line (SPL) analysis. It is intended both as a production-quality analysis tool set as well as a research support tool, e.g., to support researchers in systematically exploring research hypoth
Externí odkaz:
http://arxiv.org/abs/2110.09758
Publikováno v:
Proceedings of the 23rd International Systems and Software Product Line Conference (SPLC '19) - Volume B, 2019, pages 25-28
Variability-aware metrics are designed to measure qualitative aspects of software product lines. As we identified in a prior SLR \cite{El-SharkawyYamagishi-EichlerSchmid19}, there exist already many metrics that address code or variability separately
Externí odkaz:
http://arxiv.org/abs/2110.09755
Publikováno v:
Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS '20), 2020, article no. 8
Context: Software metrics, as one form of static analyses, is a commonly used approach in software engineering in order to understand the state of a software system, in particular to identify potential areas prone to defects. Family-based techniques
Externí odkaz:
http://arxiv.org/abs/2110.05888