What is he best known for?
The fields of study he is best known for:
- Operating system
- Software
- Programming language
Danny Weyns focuses on Software engineering, Multi-agent system, Software system, Distributed computing and Self adaptive.
His Software engineering research incorporates elements of Software verification and validation, Computer programming, Requirements engineering and Social software engineering.
The study incorporates disciplines such as Domain, Situated, Knowledge management and Delegate in addition to Multi-agent system.
His biological study spans a wide range of topics, including Theoretical computer science, Software development, Formal methods, Key and Component.
His work carried out in the field of Distributed computing brings together such families of science as Control system, Scalability, Software architecture and Adaptation.
His work deals with themes such as Control, Decentralised system and Software, which intersect with Control system.
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)
- Environment as a first class abstraction in multiagent systems (354 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Software engineering, Multi-agent system, Software system, Distributed computing and Software architecture.
Danny Weyns combines subjects such as Software, Software development, Social software engineering, Software construction and Systems engineering with his study of Software engineering.
The concepts of his Social software engineering study are interwoven with issues in Personal software process and Software peer review.
His research in Multi-agent system intersects with topics in Domain, Situated, Human–computer interaction and Knowledge management.
His study on Component-based software engineering and Software verification and validation is often connected to Self adaptive as part of broader study in Software system.
His Distributed computing study incorporates themes from Decentralised system, Protocol, Robustness and Adaptation.
He most often published in these fields:
- Software engineering (34.67%)
- Multi-agent system (29.80%)
- Software system (22.35%)
What were the highlights of his more recent work (between 2016-2021)?
- Software system (22.35%)
- Software engineering (34.67%)
- Self adaptive (11.17%)
In recent papers he was focusing on the following fields of study:
Danny Weyns mostly deals with Software system, Software engineering, Self adaptive, Software and Adaptation.
His Software system research incorporates elements of Software deployment, Field, Systems engineering, Focus and Component.
Danny Weyns merges Software engineering with Trustworthiness in his research.
The various areas that Danny Weyns examines in his Software study include Autonomy, Service, Process and Body of knowledge.
His Adaptation research incorporates themes from Machine learning, Feedback loop, Distributed computing and Artificial intelligence.
Danny Weyns interconnects Control system and Multi-agent system in the investigation of issues within Cloud computing.
Between 2016 and 2021, his most popular works were:
- Software Engineering of Self-Adaptive Systems: An Organised Tour and Future Challenges (69 citations)
- Engineering Trustworthy Self-Adaptive Software with Dynamic Assurance Cases (66 citations)
- Software engineering for self-adaptive systems: research challenges in the provision of assurances (50 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Software
- Programming language
Danny Weyns mainly investigates Software system, Self adaptive, Systems engineering, Adaptation and Software engineering.
Software system is a subfield of Software that he tackles.
His study in Systems engineering is interdisciplinary in nature, drawing from both Software architecture and Cyber-physical system.
The study incorporates disciplines such as Controller, Application domain, Feedback loop and Adaptive system in addition to Adaptation.
His Software engineering study integrates concerns from other disciplines, such as Software framework, Software development and Social software engineering.
His Social software engineering research integrates issues from Package development process, Control, Software Engineering Process Group and Software analytics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
