What is he best known for?
The fields of study he is best known for:
- Software
- Programming language
- Operating system
Software engineering, Software system, Unified Modeling Language, Software development and Software are his primary areas of study.
In general Software engineering, his work in Metamodeling is often linked to Self adaptive linking many areas of study.
Holger Giese mostly deals with Social software engineering in his studies of Software system.
His research in Social software engineering intersects with topics in Computer programming, Software Engineering Process Group and Systems development life cycle.
His Software development research is multidisciplinary, incorporating perspectives in Automation and Theoretical computer science.
His work carried out in the field of Software brings together such families of science as Multitier architecture, Real-time computing and Executable.
His most cited work include:
- Software Engineering for Self-Adaptive Systems: A Research Roadmap (864 citations)
- Software Engineering for Self-Adaptive Systems : A Second Research Roadmap (523 citations)
- Software Engineering for Self-Adaptive Systems (456 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Software engineering, Software, Unified Modeling Language, Software system and Distributed computing.
His biological study spans a wide range of topics, including Model-driven architecture, Requirements engineering, Systems engineering and Social software engineering.
Particularly relevant to System of systems engineering is his body of work in Systems engineering.
Holger Giese focuses mostly in the field of Unified Modeling Language, narrowing it down to topics relating to Mechatronics and, in certain cases, Control reconfiguration.
His Software development research extends to the thematically linked field of Software system.
He focuses mostly in the field of Distributed computing, narrowing it down to matters related to Adaptation and, in some cases, Scalability.
He most often published in these fields:
- Software engineering (33.03%)
- Software (19.27%)
- Unified Modeling Language (17.74%)
What were the highlights of his more recent work (between 2016-2021)?
- Software engineering (33.03%)
- Adaptation (8.26%)
- Software (19.27%)
In recent papers he was focusing on the following fields of study:
Holger Giese spends much of his time researching Software engineering, Adaptation, Software, Software system and Distributed computing.
In his works, he performs multidisciplinary study on Software engineering and Computing systems.
Holger Giese combines subjects such as Scheme, Programming language, Interpreter, Executable and Scalability with his study of Adaptation.
His study in the field of Test effort and Modeling language also crosses realms of Context, Bayesian inference and Set.
His Software system study combines topics in areas such as Software development, Reusability, Architectural model, JavaBeans and Feedback loop.
His Software development research is multidisciplinary, relying on both Automation and Operator.
Between 2016 and 2021, his most popular works were:
- Software engineering for self-adaptive systems: research challenges in the provision of assurances (50 citations)
- The Notion of Self-aware Computing (35 citations)
- Efficient Utility-Driven Self-Healing Employing Adaptation Rules for Large Dynamic Architectures (15 citations)
In his most recent research, the most cited papers focused on:
- Software
- Programming language
- Operating system
His main research concerns Software, Adaptation, Software system, Theoretical computer science and Graph rewriting.
Holger Giese interconnects Distributed computing, LOOP and Architectural technology in the investigation of issues within Software.
His Distributed computing study incorporates themes from Probabilistic logic, Wait-for graph and Service.
The concepts of his Adaptation study are interwoven with issues in Data modeling, Variety, Overhead and Adaptive system.
His Software system research incorporates elements of Scheme, Scalability and Mathematical optimization.
His study in Theoretical computer science is interdisciplinary in nature, drawing from both Graph pattern matching, Graph and Blossom algorithm.
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