What is he best known for?
The fields of study he is best known for:
- Operating system
- Software
- Programming language
His primary areas of investigation include Component, Component-based software engineering, Software, Software architecture and Distributed computing.
His Component study integrates concerns from other disciplines, such as Protocol, Interoperability, Finite-state machine, Common Component Architecture and Performance prediction.
His studies deal with areas such as Reliability engineering, Software engineering, Software deployment and Software construction as well as Component-based software engineering.
His Software engineering research incorporates themes from Software quality and Systems engineering.
Ralf Reussner studies Software, namely Software system.
His biological study spans a wide range of topics, including Workload and Elasticity, Cloud computing.
His most cited work include:
- The Palladio component model for model-driven performance prediction (579 citations)
- Elasticity in Cloud Computing: What It Is, and What It Is Not. (292 citations)
- Reliability prediction for component-based software architectures (279 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Software engineering, Software, Component, Software system and Component-based software engineering.
His Software engineering study incorporates themes from Software quality, Software development, Software architecture description, Reference architecture and Systems engineering.
His research on Software frequently connects to adjacent areas such as Maintainability.
His Component research is multidisciplinary, relying on both Distributed computing, Reliability engineering, Protocol, Interoperability and Performance prediction.
Ralf Reussner studies Component-based software engineering, focusing on Common Component Architecture in particular.
Software architecture is closely attributed to Architectural pattern in his work.
He most often published in these fields:
- Software engineering (38.94%)
- Software (29.60%)
- Component (20.25%)
What were the highlights of his more recent work (between 2016-2021)?
- Software engineering (38.94%)
- Software (29.60%)
- Software system (20.25%)
In recent papers he was focusing on the following fields of study:
His main research concerns Software engineering, Software, Software system, Programming language and Software architecture.
His study in Software engineering focuses on Component in particular.
His research in the fields of Unified Modeling Language and Change impact analysis overlaps with other disciplines such as Development.
In his study, which falls under the umbrella issue of Software system, Maintainability is strongly linked to Metamodeling.
His Programming language research includes elements of Table and Code.
The Software architecture study combines topics in areas such as Architectural pattern and Adaptation.
Between 2016 and 2021, his most popular works were:
- Architecture-Based Change Impact Analysis in Information Systems and Business Processes (11 citations)
- A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks (11 citations)
- Using internal domain-specific languages to inherit tool support and modularity for model transformations (10 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Software
- Programming language
His scientific interests lie mostly in Software engineering, Metamodeling, Software system, Systems engineering and Software.
His studies deal with areas such as Management information systems, Software evolution, Model-driven architecture, Application domain and Systems architecture as well as Software engineering.
Ralf Reussner focuses mostly in the field of Software system, narrowing it down to topics relating to Consistency and, in certain cases, Variable and Variability management.
His Systems engineering study combines topics from a wide range of disciplines, such as Domain, Automotive software, Configuration management and Change management.
His work on Unified Modeling Language, Software architecture and Embedded software as part of general Software research is frequently linked to Chassis and Energy management, thereby connecting diverse disciplines of science.
His work in Software architecture addresses issues such as Release management, which are connected to fields such as Cloud computing.
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